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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Few-shot Backdoor Attacks via Neural Tangent Kernels
Jonathan Hayase · Sewoong Oh
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
Mid-Vision Feedback
Michael Maynord · Eadom Dessalene · Cornelia Fermuller · Yiannis Aloimonos
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
Markup-to-Image Diffusion Models with Scheduled Sampling
Yuntian Deng · Noriyuki Kojima · Alexander M Rush
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
Language models are multilingual chain-of-thought reasoners
Freda Shi · Mirac Suzgun · Markus Freitag · Xuezhi Wang · Suraj Srivats · Soroush Vosoughi · Hyung Won Chung · Yi Tay · Sebastian Ruder · Denny Zhou · Dipanjan Das · Jason Wei
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Language Models Can Teach Themselves to Program Better
Patrick Haluptzok · Matthew Bowers · Adam Tauman Kalai
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
A Non-monotonic Self-terminating Language Model
Eugene Choi · Kyunghyun Cho · Cheolhyoung Lee
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
DiffusER: Diffusion via Edit-based Reconstruction
Machel Reid · Vincent Hellendoorn · Graham Neubig
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
Understanding Embodied Reference with Touch-Line Transformer
Yang Li · Xiaoxue Chen · Hao Zhao · Jiangtao Gong · Guyue Zhou · Federico Rossano · Yixin Zhu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Hongsuk Choi · Hyeongjin Nam · Taeryung Lee · Gyeongsik Moon · Kyoung Mu Lee
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Active Image Indexing
Pierre Fernandez · Matthijs Douze · Herve Jegou · Teddy Furon
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
Abdullah Hamdi · Silvio Giancola · Bernard Ghanem
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
Hao Tang · XIAOJUAN QI · Guolei Sun · Dan Xu · Nicu Sebe · Radu Timofte · Luc Van Gool
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
Agent-based Graph Neural Networks
Karolis Martinkus · Pál András Papp · Benedikt Schesch · Roger Wattenhofer
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Limitless Stability for Graph Convolutional Networks
Christian Koke
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
Daniel Kunin · Atsushi Yamamura · Chao Ma · Surya Ganguli
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Bohang Zhang · Shengjie Luo · Liwei Wang · Di He
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
Alessio Gravina · Davide Bacciu · Claudio Gallicchio
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
Yuelin Wang · Kai Yi · Xinliang Liu · Yuguang Wang · Shi Jin
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish · Kamal Gupta · Saurabh Singh · Abhinav Shrivastava
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Mansheej Paul · Feng Chen · Brett Larsen · Jonathan Frankle · Surya Ganguli · Gintare Karolina Dziugaite
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
QuAnt: Quantum Annealing with Learnt Couplings
Marcel Seelbach Benkner · Maximilian Krahn · Edith Tretschk · Zorah Lähner · Michael Moeller · Vladislav Golyanik
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Alan Jeffares · Tennison Liu · Jonathan Crabbé · Fergus Imrie · Mihaela van der Schaar
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
Treeformer: Dense Gradient Trees for Efficient Attention Computation
Lovish Madaan · Srinadh Bhojanapalli · Himanshu Jain · Prateek Jain
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Latent Bottlenecked Attentive Neural Processes
Leo Feng · Hossein Hajimirsadeghi · Yoshua Bengio · Mohamed Osama Ahmed
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
Alexander Atanasov · Blake Bordelon · Sabarish Sainathan · Cengiz Pehlevan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #26
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun · Sanjay Krishna Gouda · Zijian Wang · Xiaopeng Li · YUCHEN TIAN · Ming Tan · Wasi Ahmad · Shiqi Wang · Qing Sun · Mingyue Shang · Sujan Kumar Gonugondla · Hantian Ding · Varun Kumar · Nathan Fulton · Arash Farahani · Siddhartha Jain · Robert Giaquinto · Haifeng Qian · Murali Krishna Ramanathan · Ramesh Nallapati · Baishakhi Ray · Parminder Bhatia · Sudipta Sengupta · Dan Roth · Bing Xiang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
DFPC: Data flow driven pruning of coupled channels without data.
Tanay Narshana · Chaitanya Murti · Chiranjib Bhattacharyya
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver · Marc A Finzi · Micah Goldblum · Andrew Wilson
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Hao Zhang · Feng Li · Shilong Liu · Lei Zhang · Hang Su · Jun Zhu · Lionel Ni · Heung-Yeung Shum
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
Tianlong Chen · Zhenyu Zhang · AJAY JAISWAL · Shiwei Liu · Zhangyang Wang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
Scaling Forward Gradient With Local Losses
Mengye Ren · Simon Kornblith · Renjie Liao · Geoffrey E Hinton
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Sizhe Chen · Geng Yuan · Xinwen Cheng · Yifan Gong · Minghai Qin · Yanzhi Wang · Xiaolin Huang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
The Curious Case of Benign Memorization
Sotiris Anagnostidis · Gregor Bachmann · Lorenzo Noci · Thomas Hofmann
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Topology-aware Robust Optimization for Out-of-Distribution Generalization
Fengchun Qiao · Xi Peng
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Kenneth Li · Aspen Hopkins · David Bau · Fernanda Viégas · Hanspeter Pfister · Martin Wattenberg
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
Yuki Ukai · Tsubasa Hirakawa · Takayoshi Yamashita · Hironobu Fujiyoshi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
Chenyang ZHAO · Antoni Chan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
Hao ZHENG · Runqi Wang · Jianzhuang Liu · Asako Kanezaki
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
Jinrong Yang · Lin Song · Songtao Liu · Weixin Mao · Zeming Li · Xiaoping Li · Hongbin Sun · Jian Sun · Nanning Zheng
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Leveraging Unlabeled Data to Track Memorization
Mahsa Forouzesh · Hanie Sedghi · Patrick Thiran
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Data Valuation Without Training of a Model
Nohyun Ki · Hoyong Choi · Hye Won Chung
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Multivariate Time-series Imputation with Disentangled Temporal Representations
SHUAI LIU · Xiucheng Li · Gao Cong · Yile Chen · YUE JIANG
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
Nihal Nayak · Peilin Yu · Stephen Bach
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
haixu wu · Tengge Hu · Yong Liu · Hang Zhou · Jianmin Wang · Mingsheng Long
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
David Klee · Ondrej Biza · Robert Platt · Robin Walters
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Derek Lim · Joshua Robinson · Lingxiao Zhao · Tess Smidt · Suvrit Sra · Haggai Maron · Stefanie Jegelka
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
Hao Chen · Ran Tao · Yue Fan · Yidong Wang · Jindong Wang · Bernt Schiele · Xing Xie · Bhiksha Raj · Marios Savvides
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
Unicom: Universal and Compact Representation Learning for Image Retrieval
xiang an · Jiankang Deng · Kaicheng Yang · Jaiwei Li · Ziyong Feng · Jia Guo · Jing Yang · Tongliang Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
Online Boundary-Free Continual Learning by Scheduled Data Prior
Hyunseo Koh · Minhyuk Seo · Jihwan Bang · Hwanjun Song · Deokki Hong · Seulki Park · Jung-Woo Ha · Jonghyun Choi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
Efficient Conditionally Invariant Representation Learning
Roman Pogodin · Namrata Deka · Yazhe Li · Danica Sutherland · Victor Veitch · Arthur Gretton
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu · Abhishek Gupta · Max Simchowitz · Kaiqing Zhang · Pulkit Agrawal
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
FedFA: Federated Feature Augmentation
Tianfei Zhou · Ender Konukoglu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
Liam H Fowl · Jonas Geiping · Steven Reich · Yuxin Wen · Wojciech Czaja · Micah Goldblum · Tom Goldstein
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu · Eric Michaud · Max Tegmark
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
Subham Sahoo · Anselm Paulus · Marin Vlastelica Pogančić · Vít Musil · Volodymyr Kuleshov · Georg Martius
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
Neural Radiance Field Codebooks
Matthew Wallingford · Aditya Kusupati · Alex Fang · Vivek Ramanujan · Aniruddha Kembhavi · Roozbeh Mottaghi · Ali Farhadi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
Autoregressive Conditional Neural Processes
Wessel Bruinsma · Stratis Markou · James Requeima · Andrew Y. K. Foong · Tom Andersson · Anna Vaughan · Anthony Buonomo · Scott Hosking · Richard E Turner
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
Ping-yeh Chiang · Renkun Ni · David Y. Miller · Arpit Bansal · Jonas Geiping · Micah Goldblum · Tom Goldstein
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
FIT: A Metric for Model Sensitivity
Ben Zandonati · Adrian Pol · Maurizio Pierini · Olya Sirkin · Tal Kopetz
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
Jonas Landman · Slimane Thabet · Constantin Dalyac · Hela Mhiri · Elham Kashefi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Label Propagation with Weak Supervision
Rattana Pukdee · Dylan Sam · Pradeep K Ravikumar · Nina Balcan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
Learning to CROSS exchange to solve min-max vehicle routing problems
Minjun Kim · Junyoung Park · Jinkyoo Park
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Continual Pre-training of Language Models
Zixuan Ke · Yijia Shao · Haowei Lin · Tatsuya Konishi · Gyuhak Kim · Bing Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Diffusion Probabilistic Fields
Peiye Zhuang · Samira Abnar · Jiatao Gu · Alex Schwing · Joshua Susskind · MIGUEL ANGEL BAUTISTA MARTIN
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
FunkNN: Neural Interpolation for Functional Generation
AmirEhsan Khorashadizadeh · Anadi Chaman · Valentin Debarnot · Ivan Dokmanic
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
Jiyeon Han · Hwanil Choi · Yunjey Choi · Junho Kim · Jung-Woo Ha · Jaesik Choi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal · Yuval Alaluf · Yuval Atzmon · Or Patashnik · Amit Bermano · Gal Chechik · Daniel Cohen-Or
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkäänniemi · Tero Karras · Miika Aittala · Timo Aila · Jaakko Lehtinen
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
3D generation on ImageNet
Ivan Skorokhodov · Aliaksandr Siarohin · Yinghao Xu · Jian Ren · Hsin-Ying Lee · Peter Wonka · Sergey Tulyakov
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
LDMIC: Learning-based Distributed Multi-view Image Coding
Xinjie Zhang · Jiawei Shao · Jun Zhang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
Learning multi-scale local conditional probability models of images
Zahra Kadkhodaie · Florentin Guth · Stéphane Mallat · Eero Simoncelli
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
Learning Diffusion Bridges on Constrained Domains
Xingchao Liu · Lemeng Wu · Mao Ye · Qiang Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN
Eric-Tuan Le · Edward Bartrum · Iasonas Kokkinos
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu · Chengyue Gong · Qiang Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov · Denis Kuznedelev · Michael Diskin · Artem Babenko · Liudmila Prokhorenkova
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
Yangtian Zhang · Huiyu Cai · Chence Shi · Jian Tang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
Nicholas Gao · Stephan Günnemann
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Actionable Neural Representations: Grid Cells from Minimal Constraints
Will Dorrell · Peter Latham · Timothy Behrens · James Whittington
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
Training language models to summarize narratives improves brain alignment
Khai Loong Aw · Mariya Toneva
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Sparsity-Constrained Optimal Transport
Tianlin Liu · Joan Puigcerver · Mathieu Blondel
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
Frederik Kunstner · Jacques Chen · Jonathan Lavington · Mark Schmidt
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
Eduard Gorbunov · Samuel Horváth · Peter Richtarik · Gauthier Gidel
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Efficient Discrete Multi Marginal Optimal Transport Regularization
Ronak Mehta · Jeffery Kline · Vishnu Lokhande · Glenn Fung · Vikas Singh
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Han Lu · Zenan Li · Runzhong Wang · Qibing Ren · Xijun Li · Mingxuan Yuan · Jia Zeng · Xiaokang Yang · Junchi Yan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Sampling-based inference for large linear models, with application to linearised Laplace
Javier Antorán · Shreyas Padhy · Riccardo Barbano · Eric Nalisnick · David Janz · José Miguel Hernández Lobato
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
Qi Wang · Marco Federici · Herke van Hoof
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
Estimating individual treatment effects under unobserved confounding using binary instruments
Dennis Frauen · Stefan Feuerriegel
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Imitating Human Behaviour with Diffusion Models
Tim Pearce · Tabish Rashid · Anssi Kanervisto · David Bignell · Mingfei Sun · Raluca Georgescu · Sergio Valcarcel Macua · Shan Zheng Tan · Ida Momennejad · Katja Hofmann · Sam Devlin
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
Renhao Wang · Jiayuan Mao · Joy Hsu · Hang Zhao · Jiajun Wu · Yang Gao
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Integrating Symmetry into Differentiable Planning with Steerable Convolutions
Linfeng Zhao · Xupeng Zhu · LINGZHI KONG · Robin Walters · Lawson Wong
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #123
Transformer-based World Models Are Happy With 100k Interactions
Jan Robine · Marc Höftmann · Tobias Uelwer · Stefan Harmeling
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
Adversarial Diversity in Hanabi
Brandon Cui · Andrei Lupu · Samuel Sokota · Hengyuan Hu · David Wu · Jakob Foerster
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
On the Sensitivity of Reward Inference to Misspecified Human Models
Joey Hong · Kush Bhatia · Anca Dragan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
Michał Zawalski · Michał Tyrolski · Konrad Czechowski · Tomasz Odrzygóźdź · Damian Stachura · Piotr Piękos · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
Kuo-Hao Zeng · Luca Weihs · Roozbeh Mottaghi · Ali Farhadi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
Jiachen Hu · Han Zhong · Chi Jin · Liwei Wang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Understanding and Adopting Rational Behavior by Bellman Score Estimation
Kuno Kim · Stefano Ermon
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Albert Yu · Raymond Mooney
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Dichotomy of Control: Separating What You Can Control from What You Cannot
Sherry Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Adversarial Imitation Learning with Preferences
Aleksandar Taranovic · Andras Kupcsik · Niklas Freymuth · Gerhard Neumann
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Yanchao Sun · shuang ma · Ratnesh Madaan · Rogerio Bonatti · Furong Huang · Ashish Kapoor
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
Efficient Planning in a Compact Latent Action Space
Zhengyao Jiang · Tianjun Zhang · Michael Janner · Yueying Li · Tim Rocktaeschel · Edward Grefenstette · Yuandong Tian
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin · Benjamin Chamberlain · Michael Bronstein · Jonathan J Hunt
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #97
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu · Vedant Shah · Oussama Boussif · Cristian Meo · Anirudh Goyal · Tianmin Shu · Michael Mozer · Nicolas Heess · Yoshua Bengio
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
A Mixture-of-Expert Approach to RL-based Dialogue Management
Yinlam Chow · Azamat Tulepbergenov · Ofir Nachum · Dhawal Gupta · Moonkyung Ryu · Mohammad Ghavamzadeh · Craig Boutilier
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Large Language Models are Human-Level Prompt Engineers
Yongchao Zhou · Andrei Muresanu · Ziwen Han · Keiran Paster · Silviu Pitis · Harris Chan · Jimmy Ba
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Holistic Adversarially Robust Pruning
Qi Zhao · Christian Wressnegger
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
FaiREE: fair classification with finite-sample and distribution-free guarantee
Puheng Li · James Y Zou · Linjun Zhang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
Efficient Certified Training and Robustness Verification of Neural ODEs
Mustafa Zeqiri · Mark N Müller · Marc Fischer · Martin Vechev
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Hee Suk Yoon · Joshua Tian Jin Tee · Eunseop Yoon · Sunjae Yoon · Gwangsu Kim · Yingzhen Li · Chang Yoo
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming · Yiyou Sun · Ousmane Dia · Yixuan Li
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis
Zhenhui Ye · Ziyue Jiang · Yi Ren · Jinglin Liu · Jinzheng He · Zhou Zhao
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
Easy Differentially Private Linear Regression
Kareem Amin · Matthew Joseph · Mónica Ribero · Sergei Vassilvitskii
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Revisiting Robustness in Graph Machine Learning
Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
Samuel Maddock · Alexandre Sablayrolles · Pierre Stock
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
Annan Yu · Yunan Yang · Alex Townsend
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
Adaptive Optimization in the $\infty$-Width Limit
Etai Littwin · Greg Yang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
How Sharpness-Aware Minimization Minimizes Sharpness?
Kaiyue Wen · Tengyu Ma · Zhiyuan Li
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #140
Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
Gregory Schwartzman
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
Fundamental limits on the robustness of image classifiers
Zheng Dai · David Gifford
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
Haozhe Jiang · Qiwen Cui · Zhihan Xiong · Maryam Fazel · Simon Du
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Interpretations of Domain Adaptations via Layer Variational Analysis
Huan-Hsin Tseng · Hsin-Yi Lin · Kuo-Hsuan Hung · Yu Tsao
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
Long-Tailed Learning Requires Feature Learning
Thomas Laurent · James von Brecht · Xavier Bresson
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
Xiaolin Hu · Shaojie Li · Yong Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
Sandeep Silwal · Sara Ahmadian · Andrew Nystrom · Andrew McCallum · Deepak Ramachandran · Seyed Mehran Kazemi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Anshuman Chhabra · Peizhao Li · Prasant Mohapatra · Hongfu Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Link Prediction with Non-Contrastive Learning
William Shiao · Zhichun Guo · Tong Zhao · Evangelos Papalexakis · Yozen Liu · Neil Shah
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #163
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
Diego Granziol · Stefan Zohren · S Roberts
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
Zhijian Zhuo · Yifei Wang · Jinwen Ma · Yisen Wang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
DINO as a von Mises-Fisher mixture model
Hariprasath Govindarajan · Per Sidén · Jacob Roll · Fredrik Lindsten
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #146
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang · Hankook Lee · Jinwoo Shin
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
On the duality between contrastive and non-contrastive self-supervised learning
Quentin Garrido · Yubei Chen · Adrien Bardes · Laurent Najman · Yann LeCun
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Zhenmei Shi · Jiefeng Chen · Kunyang Li · Jayaram Raghuram · Xi Wu · Yingyu Liang · Somesh Jha
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #166
Self-supervised learning with rotation-invariant kernels
Léon Zheng · Gilles Puy · Elisa Riccietti · Patrick Perez · Rémi Gribonval
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