ICLR 2023

1,573 papers

A General Rank Preserving Framework for Asymmetric Image Retrieval

Hui Wu, Min Wang, Wengang Zhou, Houqiang Li

Backstepping Temporal Difference Learning

Han-Dong Lim, Donghwan Lee

Human MotionFormer: Transferring Human Motions with Vision Transformers

Hongyu Liu, Xintong Han, Chenbin Jin, Lihui Qian, Huawei Wei

Become a Proficient Player with Limited Data through Watching Pure Videos

Weirui Ye, Yunsheng Zhang, Pieter Abbeel, Yang Gao

Proactive Multi-Camera Collaboration for 3D Human Pose Estimation

Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang

Evaluating Long-Term Memory in 3D Mazes

Jurgis Pašukonis, Timothy P Lillicrap, Danijar Hafner

Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks

Noam Wies, Yoav Levine, Amnon Shashua

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders

Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang

Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel

Ryuichi Kanoh, Mahito Sugiyama

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah

What Is Missing in IRM Training and Evaluation? Challenges and Solutions

Yihua Zhang, PRANAY SHARMA, Parikshit Ram, Mingyi Hong, Kush R. Varshney

Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition

Jianhao Ma, Lingjun Guo, Salar Fattahi

On the Robustness of Safe Reinforcement Learning under Observational Perturbations

ZUXIN LIU, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan

Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts

Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He

Reversible Column Networks

Yuxuan Cai, Yizhuang Zhou, Qi Han, Jianjian Sun, Xiangwen Kong

Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning

Yat Long Lo, Christian Schroeder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson

Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses

Andrew Lowy, Meisam Razaviyayn

Rethinking Graph Lottery Tickets: Graph Sparsity Matters

Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku

NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes

Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu

Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem

Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick

Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation

Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification

Aliaksandra Shysheya, John F Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E Turner

Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks

Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang

Neural Radiance Field Codebooks

Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi

Guiding continuous operator learning through Physics-based boundary constraints

Nadim Saad, Gaurav Gupta, Shima Alizadeh, Danielle C. Maddix

Learning Proximal Operators to Discover Multiple Optima

Lingxiao Li, Noam Aigerman, Vladimir Kim, JIAJIN LI, Kristjan Greenewald

Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Ting Chen, Ruixiang ZHANG, Geoffrey Hinton

Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths

Ming Xu, Sourav Garg, Michael Milford, Stephen Gould

Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions

Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang

Protein Representation Learning by Geometric Structure Pretraining

Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurélie Lozano

On the Saturation Effect of Kernel Ridge Regression

Yicheng Li, Haobo Zhang, Qian Lin

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients

Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song

Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation

Thanh Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet

Can CNNs Be More Robust Than Transformers?

Zeyu Wang, Yutong Bai, Yuyin Zhou, Cihang Xie

Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation

Lin Zhang, Shaohuai Shi, Bo Li

Multimodal Federated Learning via Contrastive Representation Ensemble

Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu

Basic Binary Convolution Unit for Binarized Image Restoration Network

bin xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang

Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models

Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen

Towards Robustness Certification Against Universal Perturbations

Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu

Molecule Generation For Target Protein Binding with Structural Motifs

ZAIXI ZHANG, Yaosen Min, Shuxin Zheng, Qi Liu

Globally Optimal Training of Neural Networks with Threshold Activation Functions

Tolga Ergen, Halil Ibrahim Gulluk, Jonathan Lacotte, Mert Pilanci

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations

Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective

Kuan Li, Yang Liu, Xiang Ao, Qing He

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su

GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis

Zhenhui Ye, Ziyue Jiang, Yi Ren, Jinglin Liu, Jinzheng He

Masked Unsupervised Self-training for Label-free Image Classification

Junnan Li, Silvio Savarese, Steven Hoi

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation

Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng

Masked Image Modeling with Denoising Contrast

Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li

DepthFL : Depthwise Federated Learning for Heterogeneous Clients

Minjae Kim, Sangyoon Yu, Suhyun Kim, Soo-Mook Moon

Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval

Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan

The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning

Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang

Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning

Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Bian Cheng, Yizhou Yu

Re-parameterizing Your Optimizers rather than Architectures

Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han

Instance-wise Batch Label Restoration via Gradients in Federated Learning

Kailang Ma, Yu Sun, Jian Cui, Dawei Li, Zhenyu Guan

Advancing Radiograph Representation Learning with Masked Record Modeling

Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao

Bag of Tricks for Unsupervised Text-to-Speech

Yi Ren, Chen Zhang, Shuicheng Yan

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, ChenHan Jiang

Towards the Generalization of Contrastive Self-Supervised Learning

Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang

Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time

Qingchun Hou, Jingwei Yang, Yiqiang Su, Xiaoqing Wang, Yuming Deng

Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng

D4AM: A General Denoising Framework for Downstream Acoustic Models

Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, Chu-Song Chen

From t-SNE to UMAP with contrastive learning

Sebastian Damrich, Niklas Böhm, Fred A Hamprecht, Dmitry Kobak

Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network

Seungwoong Ha, Hawoong Jeong

Monocular Scene Reconstruction with 3D SDF Transformers

Weihao Yuan, Xiaodong Gu, Heng Li, Zilong Dong, Siyu Zhu

DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS

Heng Li, Xiaodong Gu, Weihao Yuan, Luwei Yang, Zilong Dong

When to Make and Break Commitments?

Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar

Approximate Nearest Neighbor Search through Modern Error-Correcting Codes

Noam Touitou, Nissim Halabi

Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding

Abdullah Hamdi, Silvio Giancola, Bernard Ghanem

GAMR: A Guided Attention Model for (visual) Reasoning

Mohit Vaishnav, Thomas Serre

Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training

Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartłomiej Twardowski, Andrew D. Bagdanov

Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN

David M Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J Bekkers

Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased

Chao Yu, Jiaxuan Gao, Weilin Liu, Botian Xu, Hao Tang

Gradient Boosting Performs Gaussian Process Inference

Aleksei Ustimenko, Artem Beliakov, Liudmila Prokhorenkova

Contextual bandits with concave rewards, and an application to fair ranking

Virginie Do, Elvis DOHMATOB, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier

ImaginaryNet: Learning Object Detectors without Real Images and Annotations

Minheng Ni, Zitong Huang, Kailai Feng, Wangmeng Zuo

Deep Learning on Implicit Neural Representations of Shapes

Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti

Temperature Schedules for self-supervised contrastive methods on long-tail data

Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht

ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations

Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang

Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision

Aleksandra Franz, Barbara Solenthaler, Nils Thuerey

Improved Convergence of Differential Private SGD with Gradient Clipping

Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li

Scalable Subset Sampling with Neural Conditional Poisson Networks

Adeel Pervez, Phillip Lippe, Efstratios Gavves

Differentiable Mathematical Programming for Object-Centric Representation Learning

Adeel Pervez, Phillip Lippe, Efstratios Gavves

SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS

Jingdong Zhang, Qunxi Zhu, Wei Yang, Wei LIN

Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions

Moritz Thürlemann, Sereina Riniker

Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation

Shuzhou Sun, Shuaifeng Zhi, Janne Heikkila, Li Liu

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning

Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Tan, Song Bai

An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network

Amit Daniely, Elad Granot

TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing

Jintai Chen, Kuanlun Liao, Yanwen Fang, Danny Chen, Jian Wu

GOOD: Exploring geometric cues for detecting objects in an open world

Haiwen Huang, Andreas Geiger, Dan Zhang

Clifford Neural Layers for PDE Modeling

Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K Gupta

3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation

ZHENNAN WU, Yang Li, Yifei Huang, Lin Gu, Tatsuya Harada

Efficient Federated Domain Translation

Zeyu Zhou, Sheikh Shams Azam, Christopher Brinton, David I. Inouye

Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation

Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng

Iterative Patch Selection for High-Resolution Image Recognition

Benjamin Bergner, Christoph Lippert, Aravindh Mahendran

Unified Discrete Diffusion for Simultaneous Vision-Language Generation

Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng

Improving Deep Regression with Ordinal Entropy

Shihao Zhang, Linlin Yang, Michael Bi Mi, Xiaoxu Zheng, Angela Yao

AnyDA: Anytime Domain Adaptation

Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li