ICLR 2024 Conference Submissions

A path-norm toolkit for modern networks: consequences, promises and challenges
Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Characterising Partial Identifiability in Inverse Reinforcement Learning For Agents With Non-Exponential Discounting
Joar Max Viktor Skalse, Alessandro Abate
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Investigation of Representation and Allocation Harms in Contrastive Learning
Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
Zhiqian Lan, Yuxuan Jiang, Yao Mu, Chen Chen, Shengbo Eben Li
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient and Scalable Graph Generation through Iterative Local Expansion
Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Meta-Learning Universal Priors Using Non-Injective Normalizing Flows
Yilang Zhang, Alireza Sadeghi, Georgios B. Giannakis
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Multi-Grained Group Symmetric Framework for Learning Protein-Ligand Binding Dynamics
Shengchao Liu, weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C Bhethanabotla, Nakul Rampal, Omar M. Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T Chayes
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
What is a good question? Task-oriented asking with fact-level masking
Matthew Toles, Yukun Huang, Zhou Yu, Luis Gravano
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Arjun Subramonian, Levent Sagun, Yizhou Sun
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rethinking pseudo-labeling: Data-centric insights improve semi-supervised learning
Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Discovering modular solutions that generalize compositionally
Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Maria Proca, Johannes von Oswald, Razvan Pascanu, Joao Sacramento, Angelika Steger
- Published: 16 Jan 2024, Last Modified: 12 May 2025
- ICLR 2024 poster
- Readers: Everyone
Less is More: Selective Layer Finetuning with SubTuning
Gal Kaplun, Andrey Gurevich, Tal Swisa, Mazor David, Shai Shalev-Shwartz, eran malach
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
AS-LLM: When Algorithm Selection Meets Large Language Model
Xingyu Wu, Yan Zhong, Jibin Wu, KC Tan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy Hospedales
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration
Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff Schneider, Willie Neiswanger
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bridging Indexing Structure and Graph Learning: Expressive and Scalable Graph Neural Network via Core-Fringe
Pak Lon Ip, Shenghui Zhang, Xuekai WEI, Tsz Nam Chan, Leong Hou U
- 21 Sept 2023 (modified: 31 Jan 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
Mengkang Hu, Yao Mu, Xinmiao Chelsey Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Explainable medical image clustering
Zhi Xu, Qi Zhao, Xueqi Liu, Kirby Madden-Hennessey, Jordan Urbani, Yun Fu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LARGE LANGUAGE MODELS FOR BIOMEDICAL KNOWLEDGE GRAPH CONSTRUCTION
Vahan Arsenyan, Spartak Bughdaryan, Fadi S Shaya, Kent Small, Davit Shahnazaryan
- 21 Sept 2023 (modified: 17 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
CHEN CHEN, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, EngSiong Chng, Chao-Han Huck Yang
- Published: 16 Jan 2024, Last Modified: 06 May 2024
- ICLR 2024 poster
- Readers: Everyone
Achieving Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach
Yue Wang, Jinjun Xiong, Shaofeng Zou
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters
Marloes Arts, Jes Frellsen, Wouter Boomsma
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to focus on target for weakly supervised visual grounding
Zhi Xu, Yun Fu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Best Response Shaping
Milad Aghajohari, Tim Cooijmans, Juan Agustin Duque, Shunichi Akatsuka, Aaron Courville
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone