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Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
Cédric Rommel · Thomas Moreau · Joseph Paillard · Alexandre Gramfort
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
Zhaozhi Qian · Krzysztof Kacprzyk · Mihaela van der Schaar
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
Ali Kavis · Kfir Y Levy · Volkan Cevher
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie · Xiang Fu · Octavian Ganea · Regina Barzilay · Tommi Jaakkola
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization
Xi Lin · Zhiyuan Yang · Qingfu Zhang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li · Yongxing Dai · Yixiao Ge · Jun Liu · Ying Shan · LINGYU DUAN
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tennenholtz · Assaf Hallak · Gal Dalal · Shie Mannor · Gal Chechik · Uri Shalit
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
Nicholas Gao · Stephan Günnemann
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
CoBERL: Contrastive BERT for Reinforcement Learning
Andrea Banino · Adria Puigdomenech Badia · Jacob C Walker · Tim Scholtes · Jovana Mitrovic · Charles Blundell
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
AlphaZero-based Proof Cost Network to Aid Game Solving
Ti-Rong Wu · Chung-Chin Shih · Ting Han Wei · Meng Yu Tsai · Wei-Yuan Hsu · I-Chen Wu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration
Ziming Wang · Nan Xue · Ling Lei · Gui-Song Xia
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
Masahiro Kato · Masaaki Imaizumi · Kenichiro McAlinn · Shota Yasui · Haruo Kakehi
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Counterfactual Plans under Distributional Ambiguity
Ngoc Bui · Duy Nguyen · Viet Anh Nguyen
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
Deep Point Cloud Reconstruction
Jaesung Choe · ByeongIn Joung · Francois Rameau · Jaesik Park · In Kweon
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
Paul Jeha · Michael Bohlke-Schneider · Pedro Mercado · Shubham Kapoor · Rajbir Nirwan · Valentin Flunkert · Jan Gasthaus · Tim Januschowski
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Defending Against Image Corruptions Through Adversarial Augmentations
Dan A. Calian · Florian Stimberg · Olivia Wiles · Sylvestre-Alvise Rebuffi · Andras Gyorgy · Timothy A Mann · Sven Gowal
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
Hang Ren · Aivar Sootla · Taher Jafferjee · Junxiao Shen · Jun Wang · Haitham Bou Ammar
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Variational Predictive Routing with Nested Subjective Timescales
Alex Zakharov · Qinghai Guo · Zafeirios Fountas
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios · Behnoosh Zamanlooy · Tianlin Liu · Ivan Dokmanic
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate
Yingtian Zou · Fusheng Liu · Qianxiao Li
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations
Jaehoon Lee · Jeon Jinsung · Sheo yon Jhin · Jihyeon Hyeong · Jayoung Kim · Minju Jo · Kook Seungji · Noseong Park
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Adversarially Robust Conformal Prediction
Asaf Gendler · Tsui-Wei Weng · Luca Daniel · Yaniv Romano
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Generative Pseudo-Inverse Memory
Kha Pham · Hung Le · Man Ngo · Truyen Tran · Bao Ho · Svetha Venkatesh
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
Sung Woo Park · Kyungjae Lee · Junseok Kwon
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Representation-Agnostic Shape Fields
Xiaoyang Huang · Jiancheng Yang · Yanjun Wang · Ziyu Chen · Linguo Li · Teng Li · Bingbing Ni · Wenjun Zhang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Exploring Memorization in Adversarial Training
Yinpeng Dong · Ke Xu · Xiao Yang · Tianyu Pang · Zhijie Deng · Hang Su · Jun Zhu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Vitruvion: A Generative Model of Parametric CAD Sketches
Ari Seff · Wenda Zhou · Nick Richardson · Ryan P Adams
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
IGLU: Efficient GCN Training via Lazy Updates
S Deepak Narayanan · Aditya Sinha · Prateek Jain · Purushottam Kar · SUNDARARAJAN SELLAMANICKAM
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen · Zhenyu Zhang · pengjun wang · Santosh Balachandra · Haoyu Ma · Zehao Wang · Zhangyang Wang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
Julius Adebayo · Michael Muelly · Harold Abelson · Been Kim
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
How Do Vision Transformers Work?
Namuk Park · Songkuk Kim
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization
Biao Zhang · Peter Wonka
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuanfei Wang · Fangwei Zhong · Jing Xu · Yizhou Wang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Omni-Dimensional Dynamic Convolution
Chao Li · Aojun Zhou · Anbang Yao
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
Policy improvement by planning with Gumbel
Ivo Danihelka · Arthur Guez · Julian Schrittwieser · David Silver
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
Ross Clarke · Elre Oldewage · José Miguel Hernández Lobato
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Exploiting Class Activation Value for Partial-Label Learning
Fei Zhang · Lei Feng · Bo Han · Tongliang Liu · Gang Niu · Tao Qin · Masashi Sugiyama
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian · Zehao Yu · Xing Sun · Shenghua Gao
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
Rahul Rade · Seyed-Mohsen Moosavi-Dezfooli
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
A Deep Variational Approach to Clustering Survival Data
Laura Manduchi · Ričards Marcinkevičs · Michela Massi · Thomas Weikert · Alexander Sauter · Verena Gotta · Timothy Müller · Flavio Vasella · Marian Neidert · Marc Pfister · Bram Stieltjes · Julia E Vogt
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
Louis Rouillard · Demian Wassermann
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning
Nam Hyeon-Woo · Moon Ye-Bin · Tae-Hyun Oh
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Dive Deeper Into Integral Pose Regression
Kerui Gu · Linlin Yang · Angela Yao
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Prototypical Contrastive Predictive Coding
Kyungmin Lee
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
Osama Makansi · Julius von Kuegelgen · Francesco Locatello · Peter Gehler · Dominik Janzing · Thomas Brox · Bernhard Schoelkopf
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
Gianluigi Silvestri · Emily Fertig · Dave Moore · Luca Ambrogioni
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
Seng Pei Liew · Tsubasa Takahashi · Michihiko Ueno
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Robust and Scalable SDE Learning: A Functional Perspective
Scott Cameron · Tyron Cameron · Arnu Pretorius · S Roberts
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
CURVATURE-GUIDED DYNAMIC SCALE NETWORKS FOR MULTI-VIEW STEREO
Khang Truong Giang · Soohwan Song · Sungho Jo
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Active Hierarchical Exploration with Stable Subgoal Representation Learning
Siyuan Li · Jin Zhang · Jianhao Wang · Yang Yu · Chongjie Zhang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
Manuel Nonnenmacher · Thomas Pfeil · Ingo Steinwart · David Reeb
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Dynamic Token Normalization improves Vision Transformers
Wenqi Shao · Yixiao Ge · Zhaoyang Zhang · XUYUAN XU · Xiaogang Wang · Ying Shan · Ping Luo
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
Leslie O'Bray · Max Horn · Bastian Rieck · Karsten Borgwardt
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
Alon Berliner · Guy Rotman · Yossi Adi · Roi Reichart · Tamir Hazan
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Entroformer: A Transformer-based Entropy Model for Learned Image Compression
Yichen Qian · Xiuyu Sun · Ming Lin · Zhiyu Tan · Rong Jin
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS
Huiqi Deng · Qihan Ren · Hao Zhang · Quanshi Zhang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
Xiaoyu Chen · Jiachen Hu · Lin Yang · Liwei Wang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
Shi Zhan Liu · Hang Yu · Cong Liao · Jianguo Li · Weiyao Lin · Alex Liu ·
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
Pierre-Alexandre Kamienny · Jean Tarbouriech · sylvain lamprier · Alessandro Lazaric · Ludovic Denoyer
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis
Jiatao Gu · Lingjie Liu · Peng Wang · Christian Theobalt
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang · Lu Yao · Long Chen · Binbin Lin · Deng Cai · Xiaofei He · Wei Liu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
On the Pitfalls of Analyzing Individual Neurons in Language Models
Omer Antverg · Yonatan Belinkov
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
Seanie Lee · Hae Beom Lee · Juho Lee · Sung Ju Hwang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
Yaxing Wang · Joost van de Weijer · Lu Yu · SHANGLING JUI
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Group equivariant neural posterior estimation
Maximilian Dax · Stephen Green · Jonathan Gair · Michael Deistler · Bernhard Schoelkopf · Jakob Macke
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients
Nan Lu · Zhao Wang · Xiaoxiao Li · Gang Niu · Qi Dou · Masashi Sugiyama
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
It Takes Two to Tango: Mixup for Deep Metric Learning
Shashanka Venkataramanan · Bill Psomas · Ewa Kijak · laurent amsaleg · Konstantinos Karantzalos · Yannis Avrithis
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu · Jeff Z. HaoChen · Adrien Gaidon · Tengyu Ma
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Explaining Point Processes by Learning Interpretable Temporal Logic Rules
Shuang Li · Mingquan Feng · Lu Wang · Abdelmajid Essofi · Yufeng Cao · Junchi Yan · Le Song
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Evaluating Disentanglement of Structured Representations
Raphaël Dang-Nhu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning to Extend Molecular Scaffolds with Structural Motifs
Krzysztof Maziarz · Henry Jackson-Flux · Pashmina Cameron · Finton Sirockin · Nadine Schneider · Nikolaus Stiefl · Marwin Segler · Marc Brockschmidt
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Understanding approximate and unrolled dictionary learning for pattern recovery
Benoît Malézieux · Thomas Moreau · Matthieu Kowalski
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Constraining Linear-chain CRFs to Regular Languages
Sean Papay · Roman Klinger · Sebastian Pado
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
Junhyun Nam · Jaehyung Kim · Jaeho Lee · Jinwoo Shin
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Nonlinear ICA Using Volume-Preserving Transformations
Xiaojiang Yang · Yi Wang · Jiacheng Sun · Xing Zhang · Shifeng Zhang · Zhenguo Li · Junchi Yan
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
GNN-LM: Language Modeling based on Global Contexts via GNN
Yuxian Meng · Shi Zong · Xiaoya Li · Xiaofei Sun · Tianwei Zhang · Fei Wu · Jiwei Li
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style
Siddharth Mysore · George Cheng · yunqi zhao · Kate Saenko · Meng Wu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
David W. Romero · Robert-Jan Bruintjes · Jakub Tomczak · Erik Bekkers · Mark Hoogendoorn · Jan Gemert
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero · Anna Kuzina · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Differentiable Expectation-Maximization for Set Representation Learning
Minyoung Kim