ICLR

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics

Qing Li, Siyuan Huang, Yining Hong, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

Comments ICLR 2023. website: https://liqing-ustc.github.io/HINT

Hyper-Decision Transformer for Efficient Online Policy Adaptation

Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan

Comments ICLR 2023. Project page: https://sites.google.com/view/hdtforiclr2023/home

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc Le, Ed Chi

Comments ICLR 2023

Towards convergence to Nash equilibria in two-team zero-sum games

Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis

Comments Paper accepted in ICLR 2023

Explanations of Black-Box Models based on Directional Feature Interactions

Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer Dy

Journal ref International Conference on Learning Representations, 2022

SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training

Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince Calhoun, Sergey Plis

Comments Published at ICLR Sparsity in Neural Networks (SNN) workshop, 2023

TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns

Soma Onishi, Kenta Oono, Kohei Hayashi

Comments Accepted at the Workshop on Understanding Foundation Models at ICLR 2023

MeshDiffusion: Score-based Generative 3D Mesh Modeling

Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu

Comments ICLR 2023 (Spotlight, Notable-top-25%)

Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap

Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf

Comments ICLR 2023 (v2: fixed typos)

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Lorenz Kuhn, Yarin Gal, Sebastian Farquhar

Comments International Conference on Learning Representations 2023 (Spotlight)

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness

Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang

Comments Published at International Conference on Learning Representations (ICLR) 2023

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases

Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang

Comments ICLR 2023. Code link: https://github.com/awslabs/decode-answer-logical-form

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

Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li

Comments Published at ICLR 2023

Journal ref The Eleventh International Conference on Learning Representations, 2023

Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle

Jae Oh Woo

Journal ref International Conference on Learning Representations 2023

Prompt Engineering and Calibration for Zero-Shot Commonsense Reasoning

Chenkai Ma

Comments To be published in the ICLR TinyPaper track

Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering

Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap, Daniel Freedman, Alex M. Bronstein, Ady Arie

Comments ICLR Machine Learning for Materials (ML4Materials) Workshop 2023. arXiv admin note: text overlap with arXiv:2112.05934

Graph-informed simulation-based inference for models of active matter

Namid R. Stillman, Silke Henkes, Roberto Mayor, Gilles Louppe

Comments Accepted to the ICLR 2023 Workshop: ML4Materials (from Molecules to Materials)

Semi-Equivariant Conditional Normalizing Flows

Eyal Rozenberg, Daniel Freedman

Comments ICLR Physics for Machine Learning (Physics4ML) Workshop 2023. arXiv admin note: substantial text overlap with arXiv:2211.04754

Sparsity-Constrained Optimal Transport

Tianlin Liu, Joan Puigcerver, Mathieu Blondel

Comments Camera-ready ICLR 2023

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation

Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar

Comments ICLR'23, Project page see https://sites.google.com/view/robo-adapters/

Bayes classifier cannot be learned from noisy responses with unknown noise rates

Soham Bakshi, Subha Maity

Comments Invited to present in ICLR Tiny Paper 2023

ODAM: Gradient-based instance-specific visual explanations for object detection

Chenyang Zhao, Antoni B. Chan

Comments 2023 International Conference on Learning Representations

Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution

Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee

Comments Accepted as oral contribution at Trustworthy Machine Learning for Healthcare Workshop, ICLR 2023

ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients

Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu

Comments ICLR 2023 Spotlight

SQA3D: Situated Question Answering in 3D Scenes

Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang

Comments ICLR 2023. First two authors contributed equally. Project website: https://sqa3d.github.io

Explicitly Minimizing the Blur Error of Variational Autoencoders

Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu

Comments Accepted to ICLR 2023

Semantic Feature Verification in FLAN-T5

Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers

Comments To appear as a Tiny Paper at ICLR 2023

Light Sampling Field and BRDF Representation for Physically-based Neural Rendering

Jing Yang, Hanyuan Xiao, Wenbin Teng, Yunxuan Cai, Yajie Zhao

Comments ICLR 2023 Poster

Projections of Model Spaces for Latent Graph Inference

Haitz Sáez de Ocáriz Borde, Álvaro Arroyo, Ingmar Posner

Comments Accepted at the ICLR 2023 Workshop on Physics for Machine Learning

Continual Pre-training of Language Models

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

Comments https://github.com/UIC-Liu-Lab/ContinualLM

Journal ref ICLR 2023