ICLR 2024 Conference Submissions

Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Memorization Capacity of Multi-Head Attention in Transformers
Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
A SIMILARITY-AGNOSTIC REINFORCEMENT LEARNING APPROACH FOR LEAD OPTIMIZATION
Abhor Gupta, Sean Current, Balaraman Ravindran, Rohit Batra, srinivasan parthasarathy, Karthik Raman
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Modeling Boundedly Rational Agents with Latent Inference Budgets
Athul Paul Jacob, Abhishek Gupta, Jacob Andreas
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Certifiably Byzantine-Robust Federated Conformal Prediction
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors
Croix Gyurek, Niloy Talukder, Mohammad Hasan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Algorithm Design for Learned Algorithms
Avi Schwarzschild, Sean Michael McLeish, Arpit Bansal, Gabriel Diaz, Alex Stein, Aakash Chandnani, Aniruddha Saha, Richard Baraniuk, Long Tran-Thanh, Jonas Geiping, Tom Goldstein
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The Effectiveness of Random Forgetting for Robust Generalization
Vijaya Raghavan T Ramkumar, Bahram Zonooz, Elahe Arani
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
Thanh Tung Le, Khai Nguyen, shanlin sun, Kun Han, Nhat Ho, Xiaohui Xie
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Lie Group Decompositions for Equivariant Neural Networks
Mircea Mironenco, Patrick Forré
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
RL Algorithms are Information-State Policies in the Bayes-Adaptive MDP
Alyssa Li Dayan, Michael D Dennis, Stuart Russell
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
Minh Hoang, Carl Kingsford
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Mechanism for Solving Relational Tasks in Transformer Language Models
Jack Merullo, Carsten Eickhoff, Ellie Pavlick
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Controllable Data Generation via Iterative Data-Property Mutual Mappings
Bo Pan, Muran Qin, Shiyu Wang, Yifei Zhang, Liang Zhao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
Darshil Doshi, Aritra Das, Tianyu He, Andrey Gromov
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
Matthew Lau, ISMAILA SECK, Athanasios P Meliopoulos, Wenke Lee, Eugene Ndiaye
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Basis Function Encoding of Numerical Features in Factorization Machines for Improved Accuracy
Alex Shtoff, Elie Abboud, Rotem Stram, Oren Somekh
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Task Generalization in Decision-Focused Learning
Senne Berden, Ali İrfan Mahmutoğulları, Tias Guns
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Nikola Simidjievski
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy
Anton Baryshnikov, Max Ryabinin
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generation, Reconstruction, Representation All-in-One: A Joint Autoencoding Diffusion Model
Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Eric Xing, Zichao Yang, Zhiting Hu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Bryan Wilder, Zachary Chase Lipton
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Flatter, Faster: Scaling Momentum for Optimal Speedup of SGD
Aditya Cowsik, Tankut Can, Paolo Glorioso
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Recurrent Neural Cellular Automata with Self-Attention for Multi-agent System
Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone