ICLR

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression

Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar

Comments ICLR 2024 spotlight. 34 pages

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs

Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun

Comments ICLR 2024

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

Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo

Comments ICLR 2023

BENO: Boundary-embedded Neural Operators for Elliptic PDEs

Haixin Wang, Jiaxin Li, Anubhav Dwivedi, Kentaro Hara, Tailin Wu

Comments Accepted by ICLR 2024

A Characterization Theorem for Equivariant Networks with Point-wise Activations

Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin

Comments Accepted at the 12th International Conference on Learning Representations (ICLR 2024)

Fixed-Budget Differentially Private Best Arm Identification

Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Y. F. Tan

Comments Accepted to ICLR 2024

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Jonghyun Lee, Hansam Cho, Youngjoon Yoo, Seoung Bum Kim, Yonghyun Jeong

Comments ICLR 2024

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

Ziyang Yu, Wenbing Huang, Yang Liu

Comments ICLR 2024

Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks

Tim Whitaker, Darrell Whitley

Comments 9 pages, 2 figures; Rejected at ICLR-2024; Revised and updated with new experiments; Submitted to WCCI-2024

Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive

Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva

Comments Accepted at ICLR 2024. Project page: https://yumengli007.github.io/ALDM/ and code: https://github.com/boschresearch/ALDM

Learning Implicit Representation for Reconstructing Articulated Objects

Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja

Comments Accepted by ICLR 2024. Code: https://github.com/haoz19/LIMR

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis

Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy Hospedales

Comments Accepted in ICLR 2024

Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning

Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan Ullman

Comments To appear at International Conference on Learning Representations (ICLR) 2024

Implicit Gaussian process representation of vector fields over arbitrary latent manifolds

Robert L. Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai

Comments ICLR 2024 conference paper. Associated code: https://github.com/agosztolai/RVGP

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Fred Zhang, Neel Nanda

Comments 27 pages. ICLR 2024

Image Background Serves as Good Proxy for Out-of-distribution Data

Sen Pei

Comments ICLR 2024. arXiv admin note: text overlap with arXiv:2301.06657

On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, Piotr Stanczyk, Sabela Ramos, Matthieu Geist, Olivier Bachem

Comments Accepted at ICLR 2024. First two authors contributed equally

Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data

Yuhui Zhang, Elaine Sui, Serena Yeung-Levy

Comments Published at ICLR 2024

From Graphs to Hypergraphs: Hypergraph Projection and its Remediation

Yanbang Wang, Jon Kleinberg

Comments Accepted at ICLR 2024

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness

Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang

Comments 73 pages, 9 figures, 9 tables; Extended from ICLR 2024 (Oral Presentation). This version polishes all proofs for better readability

VeRA: Vector-based Random Matrix Adaptation

Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano

Comments Accepted at ICLR 2024, website: https://dkopi.github.io/vera

Human Feedback is not Gold Standard

Tom Hosking, Phil Blunsom, Max Bartolo

Comments Accepted at ICLR 2024

SemPPL: Predicting pseudo-labels for better contrastive representations

Matko Bošnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

Comments Published as a conference paper at ICLR 2023. For checkpoints and source code see https://github.com/google-deepmind/semppl

Deep Generative Symbolic Regression

Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

Comments In the proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023). https://iclr.cc/virtual/2023/poster/11782

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

Explainability as statistical inference

Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei

Comments 10 pages, 22 figures, published at ICLR 2023

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30584-30612, 2023

HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork

Jae Yong Lee, Sung Woong Cho, Hyung Ju Hwang

Comments 26 pages, 13 figures. Published as a conference paper at Eleventh International Conference on Learning Representations (ICLR 2023)

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

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

Journal ref The Eleventh International Conference on Learning Representations (ICLR 2023)

Non-Denoising Forward-Time Diffusions

Stefano Peluchetti

Comments original date: 18 Nov 2021; archival of ICLR submission (https://openreview.net/forum?id=oVfIKuhqfC); no differences

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Qingru Zhang, Minshuo Chen, Alexander Bukharin, Nikos Karampatziakis, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao

Comments The 11th International Conference on Learning Representations (ICLR 2023)

Optimizing Neural Networks with Gradient Lexicase Selection

Li Ding, Lee Spector

Comments ICLR 2022

Journal ref International Conference on Learning Representations (2022)