ICLR 2023

1,573 papers

kNN-Diffusion: Image Generation via Large-Scale Retrieval

Shelly Sheynin, Oron Ashual, Adam Polyak, Uriel Singer, Oran Gafni

Bit-Pruning: A Sparse Multiplication-Less Dot-Product

Yusuke Sekikawa, Shingo Yashima

DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION

Bowen Zhao, Chen Chen, Shu-Tao Xia

Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification

Hao Zheng, Runqi Wang, Jianzhuang Liu, Asako Kanezaki

Real-Time Image Demoir$\acute{e}$ing on Mobile Devices

Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang

ChiroDiff: Modelling chirographic data with Diffusion Models

Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

PatchDCT: Patch Refinement for High Quality Instance Segmentation

Qinrou Wen, Jirui Yang, Xue Yang, Kewei Liang

Dilated convolution with learnable spacings

Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier

Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction

Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng

Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes

Fengda Zhang, Kun Kuang, Long Chen, YuXuan Liu, Chao Wu

Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks

Cheng Zhang

MCAL: Minimum Cost Human-Machine Active Labeling

Hang Qiu, Krishna Chintalapudi, Ramesh Govindan

The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition

Jun CEN, Di Luan, Shiwei Zhang, Yixuan Pei, Yingya Zhang

Function-Consistent Feature Distillation

Dongyang Liu, Meina Kan, Shiguang Shan, Xilin Chen

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion

Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo

GFlowNets and variational inference

Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J Hu

Volumetric Optimal Transportation by Fast Fourier Transform

Na Lei, Dongsheng An, Min Zhang, Xiaoyin Xu, David Gu

On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations

Zhijie Nie, Richong Zhang, Yongyi Mao

Stochastic Differentially Private and Fair Learning

Andrew Lowy, Devansh Gupta, Meisam Razaviyayn

Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks

Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao

E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation

Jie Zhu, Huabin Huang, Banghuai Li, Leye Wang

Neural Groundplans: Persistent Neural Scene Representations from a Single Image

Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus

Extracting Robust Models with Uncertain Examples

Guanlin Li, Guowen Xu, Shangwei Guo, Han Qiu, Jiwei Li

Out-of-distribution Detection with Implicit Outlier Transformation

qizhou wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander

Alternating Differentiation for Optimization Layers

Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor

Measuring axiomatic soundness of counterfactual image models

Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker

Rethinking skip connection model as a learnable Markov chain

Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu

Revisiting the Entropy Semiring for Neural Speech Recognition

Oscar Chang, Dongseong Hwang, Olivier Siohan

De Novo Molecular Generation via Connection-aware Motif Mining

Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin

Limitless Stability for Graph Convolutional Networks

Christian Koke

EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Steeven Janny, Aurélien Bénéteau, Madiha Nadri, Julie Digne, Nicolas Thome

Topology-aware Robust Optimization for Out-of-Distribution Generalization

Fengchun Qiao, Xi Peng

Robust and Controllable Object-Centric Learning through Energy-based Models

Ruixiang ZHANG, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone

Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution

Zikai Sun, Thierry Blu

SQA3D: Situated Question Answering in 3D Scenes

Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang

Learning to Compose Soft Prompts for Compositional Zero-Shot Learning

Nihal V. Nayak, Peilin Yu, Stephen Bach

Mind the Gap: Offline Policy Optimization for Imperfect Rewards

Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan

One Transformer Can Understand Both 2D & 3D Molecular Data

Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-yan Liu

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching

Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu

Distilling Cognitive Backdoor Patterns within an Image

Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey

A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps

Kiarash Jamali, Dari Kimanius, Sjors HW Scheres

Deja Vu: Continual Model Generalization for Unseen Domains

Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu

Conditional Positional Encodings for Vision Transformers

Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen

Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game

Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang

Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies

Rui Yuan, Simon Shaolei Du, Robert M. Gower, Alessandro Lazaric, Lin Xiao

What shapes the loss landscape of self supervised learning?

Liu Ziyin, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka

Interpretability with full complexity by constraining feature information

Kieran A Murphy, Danielle Bassett

MECTA: Memory-Economic Continual Test-Time Model Adaptation

Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger

Multimodal Analogical Reasoning over Knowledge Graphs

Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng

Spikformer: When Spiking Neural Network Meets Transformer

Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan

Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation

jie Yang, Ailing Zeng, Shilong Liu, Feng Li, Ruimao Zhang

Graph Contrastive Learning for Skeleton-based Action Recognition

Xiaohu Huang, Hao Zhou, Jian Wang, Haocheng Feng, Junyu Han

Knowledge Distillation based Degradation Estimation for Blind Super-Resolution

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

Towards Inferential Reproducibility of Machine Learning Research

Michael Hagmann, Philipp Meier, Stefan Riezler

DiffMimic: Efficient Motion Mimicking with Differentiable Physics

Jiawei Ren, Cunjun Yu, SIWEI CHEN, Xiao Ma, Liang Pan

Towards Smooth Video Composition

Qihang Zhang, Ceyuan Yang, Yujun Shen, Yinghao Xu, Bolei Zhou

DamoFD: Digging into Backbone Design on Face Detection

Yang Liu, Jiankang Deng, Fei Wang, Lei Shang, Xuansong Xie

LPT: Long-tailed Prompt Tuning for Image Classification

Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo

Easy Differentially Private Linear Regression

Kareem Amin, Matthew Joseph, Mónica Ribero, Sergei Vassilvitskii

Scenario-based Question Answering with Interacting Contextual Properties

Haitian Sun, William W. Cohen, Ruslan Salakhutdinov

Statistical Inference for Fisher Market Equilibrium

Luofeng Liao, Yuan Gao, Christian Kroer

Contextual Convolutional Networks

Shuxian Liang, Xu Shen, Tongliang Liu, Xian-Sheng Hua

Self-Distillation for Further Pre-training of Transformers

Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi

Interactive Portrait Harmonization

Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin

ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure

Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim

Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes

Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu

A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.

Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky

Can discrete information extraction prompts generalize across language models?

Nathanaël Carraz Rakotonirina, Roberto Dessi, Fabio Petroni, Sebastian Riedel, Marco Baroni

Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation

Haoyue Cheng, Zhaoyang Liu, Wayne Wu, Limin Wang

OTOv2: Automatic, Generic, User-Friendly

Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov

CoRTX: Contrastive Framework for Real-time Explanation

Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi

Effective Self-supervised Pre-training on Low-compute Networks without Distillation

Fuwen Tan, Fatemeh Sadat Saleh, Brais Martinez

NTK-SAP: Improving neural network pruning by aligning training dynamics

Yite Wang, Dawei Li, Ruoyu Sun

Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders

Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou

Automating Nearest Neighbor Search Configuration with Constrained Optimization

Philip Sun, Ruiqi Guo, Sanjiv Kumar

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie

Multivariate Time-series Imputation with Disentangled Temporal Representations

Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang

DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari

Semi-supervised Community Detection via Structural Similarity Metrics

Yicong Jiang, Tracy Ke

Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning

Rundong Luo, Yifei Wang, Yisen Wang

Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference

Yun-Chen Lo, Tse-Kuang Lee, Ren-Shuo Liu

Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case

Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao

Breaking Correlation Shift via Conditional Invariant Regularizer

Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-ming Ma

Towards Addressing Label Skews in One-Shot Federated Learning

Yiqun Diao, Qinbin Li, Bingsheng He

Causal Balancing for Domain Generalization

Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang

Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification

Jinxi Xiang, Jun Zhang

DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection

Jinrong Yang, Lin Song, Songtao Liu, Weixin Mao, Zeming Li

Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models

Dongzhuo Li

CFlowNets: Continuous Control with Generative Flow Networks

Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao

Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization

Haiyang Yang, Xiaotong Li, SHIXIANG TANG, Feng Zhu, Yizhou Wang

S-NeRF: Neural Radiance Fields for Street Views

Ziyang Xie, Junge Zhang, Wenye Li, FEIHU ZHANG, Li Zhang

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning

Jin Li, Yaoming Wang, XIAOPENG ZHANG, Yabo Chen, Dongsheng Jiang

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah

The Power of Regularization in Solving Extensive-Form Games

Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang

Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint

Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu

TempCLR: Temporal Alignment Representation with Contrastive Learning

Yuncong Yang, Jiawei Ma, Shiyuan Huang, Long Chen, Xudong Lin

On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme

Ryo Ueda, Taiga Ishii, Yusuke Miyao

Phase transition for detecting a small community in a large network

Jiashun Jin, Tracy Ke, Paxton Turner, Anru Zhang

Learning Object-Language Alignments for Open-Vocabulary Object Detection

Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu