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In-Person presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #148
A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search
Brandon Trabucco · Gunnar Sigurdsson · Robinson Piramuthu · Gaurav Sukhatme · Ruslan Salakhutdinov
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Seonghyeon Ye · Doyoung Kim · Joel Jang · Joongbo Shin · Minjoon Seo
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
Globally Injective ReLU Networks
Michael Puthawala · Konik Kothari · Matti Lassas · Ivan Dokmanić · Maarten V de Hoop
[ JMLR
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
View Synthesis with Sculpted Neural Points
Yiming Zuo · Jia Deng
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng · Maria Attarian · brian ichter · Krzysztof Choromanski · Adrian Wong · Stefan Welker · Federico Tombari · Aveek Purohit · Michael Ryoo · Vikas Sindhwani · Johnny Lee · Vincent Vanhoucke · Pete Florence
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
Calibrating Sequence likelihood Improves Conditional Language Generation
Yao Zhao · Misha Khalman · Rishabh Joshi · Shashi Narayan · Mohammad Saleh · Peter Liu
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
DocPrompting: Generating Code by Retrieving the Docs
Shuyan Zhou · Uri Alon · Frank F Xu · Zhengbao Jiang · Graham Neubig
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
DamoFD: Digging into Backbone Design on Face Detection
Yang Liu · Jiankang Deng · Fei Wang · Lei Shang · Xuansong Xie · Baigui Sun
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
Kangjie Chen · Xiaoxuan Lou · Guowen Xu · Jiwei Li · Tianwei Zhang
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu · Zi Xuan Zhang · Atharva Naik · Zhijian Mei · Mauajama Firdaus · Lili Mou
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin SU · Jungo Kasai · Chen Henry Wu · Weijia Shi · Tianlu Wang · Jiayi Xin · Rui Zhang · Mari Ostendorf · Luke Zettlemoyer · Noah Smith · Tao Yu
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
The KFIoU Loss for Rotated Object Detection
Xue Yang · Yue Zhou · Gefan Zhang · Jirui Yang · Wentao Wang · Junchi Yan · XIAOPENG ZHANG · Qi Tian
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space
Evangelos Chatzipantazis · Stefanos Pertigkiozoglou · Edgar Dobriban · Kostas Daniilidis
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Perfectly Secure Steganography Using Minimum Entropy Coupling
Christian Schroeder de Witt · Samuel Sokota · Zico Kolter · Jakob Foerster · Martin Strohmeier
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
SLTUNET: A Simple Unified Model for Sign Language Translation
Biao Zhang · Mathias Müller · Rico Sennrich
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Ce Liu · Suryansh Kumar · Shuhang Gu · Radu Timofte · Luc Van Gool
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Visual Classification via Description from Large Language Models
Sachit Menon · Carl Vondrick
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
Jie Zhu · Huabin Huang · Banghuai Li · Leye Wang
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation
Hai Ci · Mickel Liu · Xuehai Pan · Fangwei Zhong · Yizhou Wang
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
AnyDA: Anytime Domain Adaptation
Omprakash Chakraborty · Aadarsh Sahoo · Rameswar Panda · Abir Das
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
SMART: Sentences as Basic Units for Text Evaluation
Reinald Kim Amplayo · Peter Liu · Yao Zhao · Shashi Narayan
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
GAIN: On the Generalization of Instructional Action Understanding
Junlong Li · Guangyi Chen · Yansong Tang · Jinan Bao · Kun Zhang · Jie Zhou · Jiwen Lu
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Mohammad Amin Shabani · Amir Abdi · Lili Meng · Tristan Sylvain
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors
Niv Cohen · Jonathan Kahana · Yedid Hoshen
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu · Hong-in Lee · Jeong-Hoon Lee · Jongeun Choi
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #26
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
Ansong Ni · Jeevana Priya Inala · Chenglong Wang · Alex Polozov · Christopher Meek · Dragomir Radev · Jianfeng Gao
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
Penghao Wu · Li Chen · Hongyang Li · Xiaosong Jia · Junchi Yan · Yu Qiao
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
Chang Liu · Zetian Jiang · Runzhong Wang · Lingxiao Huang · Pinyan Lu · Junchi Yan
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang · Qitan Wu · Jiahua Wang · Junchi Yan
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
Graph Neural Networks for Link Prediction with Subgraph Sketching
Benjamin Chamberlain · Sergey Shirobokov · Emanuele Rossi · Fabrizio Frasca · Thomas Markovich · Nils Hammerla · Michael Bronstein · Max Hansmire
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um · Jiwoong Park · Seulki Park · Jin Choi
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Sparse tree-based Initialization for Neural Networks
Patrick Lutz · Ludovic Arnould · Claire Boyer · Erwan Scornet
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
Duc Hoang · Shiwei Liu · Radu Marculescu · Zhangyang Wang
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian · Eshaan Nichani · Jason Lee
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
Liquid Structural State-Space Models
Ramin Hasani · Mathias Lechner · Johnson (Tsun-Hsuan) Wang · Makram Chahine · Alexander Amini · Daniela Rus
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Predictive Inference with Feature Conformal Prediction
Jiaye Teng · Chuan Wen · Dinghuai Zhang · Yoshua Bengio · Yang Gao · Yang Yuan
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
Aleksandar Pavlović · Emanuel Sallinger
[ Slides [ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang · Junjie Ye · Feng Liu · Quanyu Dai · Marcus Kalander · Tongliang Liu · Jianye HAO · Bo Han
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Improving Deep Regression with Ordinal Entropy
Shihao Zhang · Linlin Yang · Michael Bi Mi · Xiaoxu Zheng · Angela Yao
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
How I Learned to Stop Worrying and Love Retraining
Max Zimmer · Christoph Spiegel · Sebastian Pokutta
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Distilling Model Failures as Directions in Latent Space
Saachi Jain · Hannah Lawrence · Ankur Moitra · Aleksander Madry
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Efficient Edge Inference by Selective Query
Anil Kag · Igor Fedorov · Aditya Gangrade · Paul Whatmough · Venkatesh Saligrama
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Understanding Zero-shot Adversarial Robustness for Large-Scale Models
Chengzhi Mao · Scott Geng · Junfeng Yang · Xin Wang · Carl Vondrick
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
A Primal-Dual Framework for Transformers and Neural Networks
TAN NGUYEN · Tam Nguyen · Nhat Ho · Andrea Bertozzi · Richard Baraniuk · Stanley J Osher
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #80
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Dan Fu · Tri Dao · Khaled Saab · Armin Thomas · Atri Rudra · Christopher Re
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh · HE LYU · Xitong Zhang · Rongrong Wang
[ Slides [ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
Anand Subramoney · Khaleelulla Khan Nazeer · Mark Schoene · Christian Mayr · David Kappel
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
Yoonho Lee · Huaxiu Yao · Chelsea Finn
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Yuki Asano · Aaqib Saeed
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping · Micah Goldblum · Gowthami Somepalli · Ravid Shwartz-Ziv · Tom Goldstein · Andrew Wilson
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
Puja Trivedi · Danai Koutra · Jayaraman J. Thiagarajan
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee · Annie Chen · Fahim Tajwar · Ananya Kumar · Huaxiu Yao · Percy Liang · Chelsea Finn
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja · Rachit Bansal · Kyunghyun Cho · João Sedoc · Naomi Saphra
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Guangyi Chen · Weiran Yao · Xiangchen Song · Xinyue Li · Yongming Rao · Kun Zhang
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Learning with Logical Constraints but without Shortcut Satisfaction
Zenan Li · Zehua Liu · Yuan Yao · Jingwei Xu · Taolue Chen · Xiaoxing Ma · Jian Lu
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Confidence Estimation Using Unlabeled Data
Chen Li · Xiaoling Hu · Chao Chen
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
NORM: Knowledge Distillation via N-to-One Representation Matching
Xiaolong Liu · Lujun Li · Chao Li · Anbang Yao
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Shengnan An · Zeqi Lin · Bei Chen · Qiang Fu · Nanning Zheng · Jian-Guang Lou
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #88
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
Andrew Patterson · Adam White · Martha White
[ JMLR
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Is Forgetting Less a Good Inductive Bias for Forward Transfer?
Jiefeng Chen · Timothy Nguyen · Dilan Gorur · Arslan Chaudhry
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Deep Learning on Implicit Neural Representations of Shapes
Luca De Luigi · Adriano Cardace · Riccardo Spezialetti · Pierluigi Zama Ramirez · Samuele Salti · Luigi Di Stefano
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang · Hao Chen · Qiang Heng · Wenxin Hou · Yue Fan · Zhen Wu · Jindong Wang · Marios Savvides · Takahiro Shinozaki · Bhiksha Raj · Bernt Schiele · Xing Xie
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Bispectral Neural Networks
Sophia Sanborn · Christian Shewmake · Bruno Olshausen · Christopher Hillar
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Bias Propagation in Federated Learning
Hongyan Chang · Reza Shokri
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
Zhijie Nie · Richong Zhang · Yongyi Mao
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #73
Relative representations enable zero-shot latent space communication
Luca Moschella · Valentino Maiorca · Marco Fumero · Antonio Norelli · Francesco Locatello · Emanuele Rodolà
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
No Reason for No Supervision: Improved Generalization in Supervised Models
Mert Bulent Sariyildiz · Yannis Kalantidis · Karteek Alahari · Diane Larlus
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #74
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
Cian Eastwood · Andrei L Nicolicioiu · Julius von Kügelgen · Armin Kekic · Frederik Träuble · Andrea Dittadi · Bernhard Schoelkopf
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
Recursive Time Series Data Augmentation
Amine Aboussalah · Minjae Kwon · Raj Patel · Cheng Chi · Chi-Guhn Lee
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong · Zekun Qi · Linfeng Zhang · Junbo Zhang · Jianjian Sun · Zheng Ge · Li Yi · Kaisheng Ma
[ Slides [ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
Leveraging Importance Weights in Subset Selection
Gui Citovsky · Giulia DeSalvo · Sanjiv Kumar · Srikumar Ramalingam · Afshin Rostamizadeh · Yunjuan Wang
[ Slides [ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #76
Generative Modeling Helps Weak Supervision (and Vice Versa)
Benedikt Boecking · Nicholas Roberts · Willie Neiswanger · Stefano Ermon · Frederic Sala · Artur Dubrawski
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
Discovering Evolution Strategies via Meta-Black-Box Optimization
Robert Lange · Tom Schaul · Yutian Chen · Tom Zahavy · Valentin Dalibard · Chris Lu · Satinder Singh · Sebastian Flennerhag
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
DAG Learning on the Permutahedron
Valentina Zantedeschi · Luca Franceschi · Jean Kaddour · Matt Kusner · Vlad Niculae
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
Kernel Neural Optimal Transport
Alexander Korotin · Daniil Selikhanovych · Evgeny Burnaev
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
DiGress: Discrete Denoising diffusion for graph generation
Clément Vignac · Igor Krawczuk · Antoine Siraudin · Bohan Wang · Volkan Cevher · Pascal Frossard
[ Slides [ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Neural Architecture Design and Robustness: A Dataset
Steffen Jung · Jovita Lukasik · Margret Keuper
[ Slides [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
An Extensible Multi-modal Multi-task Object Dataset with Materials
Trevor Standley · Ruohan Gao · Dawn Chen · Jiajun Wu · Silvio Savarese
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu · Fanbo Xiang · Xuanlin Li · Zhan Ling · Xiqiang Liu · Tongzhou Mu · Yihe Tang · Stone Tao · Xinyue Wei · Yunchao Yao · Xiaodi Yuan · Pengwei Xie · Zhiao Huang · Rui Chen · Hao Su
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Takashi Matsubara · Takaharu Yaguchi
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter · Rianne van den Berg · Max Welling · Jayesh Gupta
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Ingrid von Glehn · James Spencer · David Pfau
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #129
Learning differentiable solvers for systems with hard constraints
Geoffrey Négiar · Michael W Mahoney · Aditi Krishnapriyan
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Learning Domain-Agnostic Representation for Disease Diagnosis
Churan Wang · Jing Li · Xinwei Sun · Fandong Zhang · Yizhou Yu · Yizhou Wang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
GAMR: A Guided Attention Model for (visual) Reasoning
Mohit Vaishnav · Thomas Serre
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
Laurent Condat · Peter Richtarik
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Finding Actual Descent Directions for Adversarial Training
Fabian Latorre · Igor Krawczuk · Leello Dadi · Thomas Pethick · Volkan Cevher
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
Alexander Tyurin · Peter Richtarik
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
Zhihao Shi · Xize Liang · Jie Wang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
An Adaptive Policy to Employ Sharpness-Aware Minimization
Weisen JIANG · Hansi Yang · Yu Zhang · James Kwok
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
Heshan Fernando · Han Shen · Miao Liu · Subhajit Chaudhury · Keerthiram Murugesan · Tianyi Chen
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
FedExP: Speeding Up Federated Averaging via Extrapolation
Divyansh Jhunjhunwala · Shiqiang Wang · Gauri Joshi
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Multi-Objective Online Learning
Jiyan Jiang · Wenpeng Zhang · Shiji Zhou · Lihong Gu · Xiaodong Zeng · Wenwu Zhu
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #123
Single-shot General Hyper-parameter Optimization for Federated Learning
Yi Zhou · Parikshit Ram · Theodoros Salonidis · Nathalie Baracaldo · Horst Samulowitz · Heiko Ludwig
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
Marco Bornstein · Tahseen Rabbani · Evan Wang · Amrit Bedi · Furong Huang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
Robustness to corruption in pre-trained Bayesian neural networks
Xi Wang · Laurence Aitchison
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
Particle-based Variational Inference with Preconditioned Functional Gradient Flow
Hanze Dong · Xi Wang · LIN Yong · Tong Zhang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #167
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
Li-Cheng Lan · Huan Zhang · Cho-Jui Hsieh
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
Calibrating Transformers via Sparse Gaussian Processes
Wenlong Chen · Yingzhen Li
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Measuring axiomatic soundness of counterfactual image models
Miguel Monteiro · Fabio De Sousa Ribeiro · Nick Pawlowski · Daniel Castro · Ben Glocker
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Latent State Marginalization as a Low-cost Approach for Improving Exploration
Dinghuai Zhang · Aaron Courville · Yoshua Bengio · Qinqing Zheng · Amy Zhang · Ricky T. Q. Chen
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
Model-based Causal Bayesian Optimization
Scott Sussex · Anastasia Makarova · Andreas Krause
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Hybrid RL: Using both offline and online data can make RL efficient
Yuda Song · Yifei Zhou · Ayush Sekhari · Drew Bagnell · Akshay Krishnamurthy · Wen Sun
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
Deyao Zhu · Li Li · Mohamed Elhoseiny
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
Generating Diverse Cooperative Agents by Learning Incompatible Policies
Rujikorn Charakorn · Poramate Manoonpong · Nat Dilokthanakul
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
User-Interactive Offline Reinforcement Learning
Phillip Swazinna · Steffen Udluft · Thomas A. Runkler
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #117
Simple Emergent Action Representations from Multi-Task Policy Training
Pu Hua · Yubei Chen · Huazhe Xu
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
David Mguni · Aivar Sootla · Juliusz Ziomek · Oliver Slumbers · Zipeng Dai · Kun Shao · Jun Wang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #97
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc G Bellemare
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
Planning with Sequence Models through Iterative Energy Minimization
Hongyi Chen · Yilun Du · Yiye Chen · Joshua B Tenenbaum · Patricio Vela
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Localized Randomized Smoothing for Collective Robustness Certification
Jan Schuchardt · Tom Wollschläger · Aleksandar Bojchevski · Stephan Günnemann
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Qitan Wu · Yiting Chen · Chenxiao Yang · Junchi Yan
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Robust Explanation Constraints for Neural Networks
Matthew Wicker · Juyeon Heo · Luca Costabello · Adrian Weller
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Strategic Classification with Graph Neural Networks
Itay Eilat · Ben Finkelshtein · Chaim Baskin · Nir Rosenfeld
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns · Haotian Ye · Dan Klein · Jacob Steinhardt
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
Concept Gradient: Concept-based Interpretation Without Linear Assumption
Andrew Bai · Chih-Kuan Yeh · Neil Lin · Pradeep K Ravikumar · Cho-Jui Hsieh
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
A law of adversarial risk, interpolation, and label noise
Daniel Paleka · Amartya Sanyal
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
Measuring Forgetting of Memorized Training Examples
Matthew Jagielski · Om Thakkar · Florian Tramer · Daphne Ippolito · Katherine Lee · Nicholas Carlini · Eric Wallace · Shuang Song · Abhradeep Guha Thakurta · Nicolas Papernot · Chiyuan Zhang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
Progress measures for grokking via mechanistic interpretability
Neel Nanda · Lawrence Chan · Tom Lieberum · Jess Smith · Jacob Steinhardt
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
Xudong Han · Timothy Baldwin · Trevor Cohn
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
Tuomas Oikarinen · Tsui-Wei Weng
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Individual Privacy Accounting with Gaussian Differential Privacy
Antti Koskela · Marlon Tobaben · Antti Honkela
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
Temporal Dependencies in Feature Importance for Time Series Prediction
Kin Kwan Leung · Clayton Rooke · Jonathan Smith · Saba Zuberi · Maksims Volkovs
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Explaining RL Decisions with Trajectories
Shripad Deshmukh · Arpan Dasgupta · Balaji Krishnamurthy · Nan Jiang · Chirag Agarwal · Georgios Theocharous · Jayakumar Subramanian
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
Stochastic Differentially Private and Fair Learning
Andrew Lowy · Devansh Gupta · Meisam Razaviyayn
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
Eoin Kenny · Mycal Tucker · Julie Shah
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #140
How robust is unsupervised representation learning to distribution shift?
Yuge Shi · Imant Daunhawer · Julia E Vogt · Philip Torr · Amartya Sanyal
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Xinyi Wu · Zhengdao Chen · William Wang · Ali Jadbabaie
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
On the Saturation Effect of Kernel Ridge Regression
Yicheng Li · Haobo Zhang · Qian Lin
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Characterizing the spectrum of the NTK via a power series expansion
Michael Murray · Hui Jin · Benjamin Bowman · Guido Montufar
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
Collaborative Pure Exploration in Kernel Bandit
Yihan Du · Wei Chen · Yuko Kuroki · Longbo Huang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
Learning ReLU networks to high uniform accuracy is intractable
Julius Berner · Philipp Grohs · Felix Voigtlaender
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
Understanding The Robustness of Self-supervised Learning Through Topic Modeling
Zeping Luo · Shiyou Wu · Cindy Weng · Mo Zhou · Rong Ge
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Bidirectional Language Models Are Also Few-shot Learners
Ajay Patel · Bryan Li · Mohammad Rasooli · Noah Constant · Colin Raffel · Chris Callison-Burch
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
Xueyi Liu · Ji Zhang · Ruizhen Hu · Haibin Huang · He Wang · Li Yi
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #163
From $t$-SNE to UMAP with contrastive learning
Sebastian Damrich · Niklas Böhm · Fred A Hamprecht · Dmitry Kobak
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
Samuel Lavoie · Christos Tsirigotis · Max Schwarzer · Ankit Vani · Mikhail Noukhovitch · Kenji Kawaguchi · Aaron Courville
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Yuxin Fang · Li Dong · Hangbo Bao · Xinggang Wang · Furu Wei
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #146
SimPer: Simple Self-Supervised Learning of Periodic Targets
Yuzhe Yang · Xin Liu · Jiang Wu · Silviu Borac · Dina Katabi · Ming-Zher Poh · Daniel McDuff
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
What Do Self-Supervised Vision Transformers Learn?
Namuk Park · Wonjae Kim · Byeongho Heo · Taekyung Kim · Sangdoo Yun
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
Human-level Atari 200x faster
Steven Kapturowski · Víctor Campos · Ray Jiang · Nemanja Rakicevic · Hado van Hasselt · Charles Blundell · Adria Puigdomenech Badia
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