ICLR

aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception

Tamás Matuszka, Iván Barton, Ádám Butykai, Péter Hajas, Dávid Kiss, Domonkos Kovács, Sándor Kunsági-Máté, Péter Lengyel, Gábor Németh, Levente Pető, Dezső Ribli, Dávid Szeghy, Szabolcs Vajna, Bálint Varga

Comments The paper was accepted to ICLR 2023 Workshop Scene Representations for Autonomous Driving

Dual Student Networks for Data-Free Model Stealing

James Beetham, Navid Kardan, Ajmal Mian, Mubarak Shah

Comments Published in the ICLR 2023 - The Eleventh International Conference on Learning Representations

Distributionally Robust Post-hoc Classifiers under Prior Shifts

Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar

Comments Camera ready version, accepted at ICLR 2023

Bringing PDEs to JAX with forward and reverse modes automatic differentiation

Ivan Yashchuk

Comments Published as a workshop paper at ICLR 2020 DeepDiffEq workshop

MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids

Nicolas Cuadrado, Roberto Gutierrez, Yongli Zhu, Martin Takac

Comments ICLR 2023 Workshop: Tackling Climate Change with Machine Learning

Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning

Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri

Comments ICLR 2023 revised

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

Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou

Comments ICLR 2023 camera-ready version

Bias Propagation in Federated Learning

Hongyan Chang, Reza Shokri

Journal ref The Eleventh International Conference on Learning Representations, 2023

Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces

Kshitiz, Garvit Garg, Angshuman Paul

Comments ICLR MLGH Workshop 2023

Parametrizing Product Shape Manifolds by Composite Networks

Josua Sassen, Klaus Hildebrandt, Martin Rumpf, Benedikt Wirth

Journal ref International Conference on Learning Representations (ICLR) 2023

The Rich Get Richer: Disparate Impact of Semi-Supervised Learning

Zhaowei Zhu, Tianyi Luo, Yang Liu

Comments Published as a conference paper at ICLR 2022. Revised constants Theorems 1,2, and Lemma 3 (consider the union bound). Add acknowledgments to Nautilus

Unsupervised Disentanglement with Tensor Product Representations on the Torus

Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf

Comments Accepted to ICLR 2022

A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks

Marc Finzi, Andres Potapczynski, Matthew Choptuik, Andrew Gordon Wilson

Comments ICLR 2023. Code available at https://github.com/mfinzi/neural-ivp

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, Xing Xie

Comments Highlighted paper at ICLR 2023 workshop on Trustworthy and Reliable Large-Scale Machine Learning Models; code is at: https://github.com/microsoft/robustlearn; more works: https://llm-eval.github.io/

Brain-like representational straightening of natural movies in robust feedforward neural networks

Tahereh Toosi, Elias B. Issa

Comments 21 pages, 15 figures, published in ICLR 2023

Journal ref International Conference on Learning Representations (ICLR), 2023

Composing Task Knowledge with Modular Successor Feature Approximators

Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak lee, Satinder Singh

Comments Accepted to ICLR 2023

Logical Message Passing Networks with One-hop Inference on Atomic Formulas

Zihao Wang, Yangqiu Song, Ginny Y. Wong, Simon See

Comments Accepted by ICLR 2023. 20 pages, 4 figures, and 9 tables. Our implementation can be found at https://github.com/HKUST-KnowComp/LMPNN . update v4: more accurate comparison about the computational cost between LMPNN and GNN-QE. update v3: typo fix. update v2: add code repository

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Zhendong Wang, Jonathan J Hunt, Mingyuan Zhou

Comments ICLR 2023

Diffusion-GAN: Training GANs with Diffusion

Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou

Comments Project homepage: https://github.com/Zhendong-Wang/Diffusion-GAN; ICLR 2023 camera ready version

Geodesic Mode Connectivity

Charlie Tan, Theodore Long, Sarah Zhao, Rudolf Laine

Comments Published as a TinyPaper at ICLR 2023

Individual Privacy Accounting with Gaussian Differential Privacy

Antti Koskela, Marlon Tobaben, Antti Honkela

Comments 31 pages, 10 figures

Journal ref International Conference on Learning Representations 2023

StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random

Haoxuan Li, Chunyuan Zheng, Peng Wu

Comments ICLR 23

Regression Transformer: Concurrent sequence regression and generation for molecular language modeling

Jannis Born, Matteo Manica

Comments Updated paper, under review; Preliminary version as spotlight talk at ICLR 2022 workshop on Machine Learning for Drug Discovery

Journal ref Nature Machine Intelligence 5, 432-444 (2023)

Pruning Deep Neural Networks from a Sparsity Perspective

Enmao Diao, Ganghua Wang, Jiawei Zhan, Yuhong Yang, Jie Ding, Vahid Tarokh

Comments ICLR 2023

TrojText: Test-time Invisible Textual Trojan Insertion

Qian Lou, Yepeng Liu, Bo Feng

Comments In The Eleventh International Conference on Learning Representations. 2023 (ICLR 2023)

Semi-Implicit Variational Inference via Score Matching

Longlin Yu, Cheng Zhang

Comments 17 pages, 8 figures; ICLR 2023

Exploring Demonstration Ensembling for In-context Learning

Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

Comments Published at ME-FoMo workshop at ICLR 2023. Arxiv version includes evaluation on 5 more tasks

Distributed Extra-gradient with Optimal Complexity and Communication Guarantees

Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher

Comments International Conference on Learning Representations (ICLR 2023)

Denoising Diffusion Samplers

Francisco Vargas, Will Grathwohl, Arnaud Doucet

Comments In The Eleventh International Conference on Learning Representations, 2023

Journal ref In The Eleventh In The Eleventh International Conference on Learning Representations, 2023

IDEAL: Query-Efficient Data-Free Learning from Black-box Models

Jie Zhang, Chen Chen, Lingjuan Lyu

Comments ICLR 2023