ICLR 2024 Conference Submissions

DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
Ilan Price, Nicholas Daultry Ball, Adam Christopher Jones, Samuel Chun Hei Lam, Jared Tanner
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Local Vs. Global Interpretability: A Computational Perspective
Shahaf Bassan, Guy Amir, Guy Katz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Post-Nonlinear Causal Relationship with Finite Samples: A Maximal Correlation Perspective
Tianjian Zhang, Feng Yin, Zhi-Quan Luo
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Self-supervised debiasing using low rank regularization
Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Elastic Load Balancing for Dynamic LLMs
Mohamed Wahib, Muhammet Abdullah Soytürk, Didem Unat
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multilingual Code Retrieval Without Paired Data: New Datasets and Benchmarks
Joao Monteiro, Torsten Scholak, Virendra Mehta, David Vazquez, Christopher Pal
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning
Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Bridging Sub-Tasks to Long-Horizon Task in Hierarchical Goal-Based Reinforcement Learning
Gangbok Lee, Youngsik Yoon, Jeongyeol Kwon, Sungsoo Ahn, Jungseul Ok
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Revisiting Collaborative Filtering
Hao Zhu, Yifei Zhang, Irwin King, Piotr Koniusz
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Zero-shot Image Restoration via Diffusion Inversion
Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott, Hossein Zakerinia, Christoph H Lampert
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
AWRQ: Activation-aware Weight Reformulation Quantizer for Large Language Models
Lin Zhao
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Unsupervised motion segmentation in one go: Smooth long-term model over a video
Etienne Meunier, Patrick Bouthemy
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Improving Non-Transferable Representation Learning by Harnessing Content and Style
Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
- Published: 16 Jan 2024, Last Modified: 28 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Semi-smooth, Self-shifting, and Singular Newton Method for Sparse Optimal Transport
Zihao Tang, Yixuan Qiu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PASTA: Pretrained Action-State Transformer Agents
Raphael Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas PIERROT
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
David T Hoffmann, Simon Schrodi, Nadine Behrmann, Volker Fischer, Thomas Brox
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DP-SGD Without Clipping: The Lipschitz Neural Network Way
Louis Béthune, Thomas Massena, Thibaut Boissin, Aurélien Bellet, Franck Mamalet, Yannick Prudent, Corentin Friedrich, Mathieu Serrurier, David Vigouroux
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Neural Networks Trained by Weight Permutation are Universal Approximators
Gaohang Chen, Zhonghua Qiao, Yongqiang Cai
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AutoHall: Automated Hallucination Dataset Generation for Large Language Models
zouying cao, Yifei Yang, hai zhao
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
Urte Adomaityte, Leonardo Defilippis, Bruno Loureiro, Gabriele Sicuro
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Mitigating Uni-modal Sensory Bias in Multimodal Object Detection with Counterfactual Intervention and Causal Mode Multiplexing
Taeheon Kim, Sebin Shin, Youngjoon Yu, Hak Gu Kim, Yong Man Ro
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Human Feedback is not Gold Standard
Tom Hosking, Phil Blunsom, Max Bartolo
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone