ICLR 2024 Conference Submissions

On the Efficiency of Transformers: The Effect of Attention Rank
Zeping Min, Zhong Li
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
α-Former: Local-Feature-Aware (L-FA) Transformer
Zhi Xu, Bin Sun, Yue Bai, Yun Fu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LOQA: Learning with Opponent Q-Learning Awareness
Milad Aghajohari, Juan Agustin Duque, Tim Cooijmans, Aaron Courville
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
Jinyi Hu, Yuan Yao, Chongyi Wang, SHAN WANG, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, dahai li, Zhiyuan Liu, Maosong Sun
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
Willem Röpke, Mathieu Reymond, Patrick Mannion, Roxana Rădulescu, Ann Nowe, Diederik M Roijers
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding the Transfer of High-Level Reinforcement Learning Skills Across Diverse Environments
Reginald McLean, Kai Yuan, Isaac Woungang, Nariman Farsad
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Measuring Fairness Using Probable Segmentation for Continuous Sensitive Attributes
Eungbeom Kim, Minju Kim, Kunwoong Kim, Insung Kong, Yongdai Kim, Kyogu Lee
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unsupervised Cognition
Alfredo Ibias, Roger Aylagas, Guillem Ramirez-Miranda, Enric Guinovart, Eduard Alarcon
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation
Marco Bornstein, Amrit Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CLA-RA: COLLABORATIVE ACTIVE LEARNING AMIDST RELABELING AMBIGUITY
Oishik Chatterjee, Kaizer Rahaman, Pooja Aggarwal
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Advancing the Adversarial Robustness of Neural Networks from the Data Perspective
Monty Maximilian Zühlke, Daniel Kudenko
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, JACOB GOLDIN, Daniel E. Ho
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Auto-Regressive Next-Token Predictors are Universal Learners
eran malach
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unsupervised open-vocabulary action recognition with an autoregressive model
Adrian Bulat, Enrique Sanchez, Brais Martinez, Georgios Tzimiropoulos
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A 2-Dimensional State Space Layer for Spatial Inductive Bias
Ethan Baron, Itamar Zimerman, Lior Wolf
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learning 3D Particle-based Simulators from RGB-D Videos
William F Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R Allen
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
SocREval: LLMs with the Socratic Method for Reference-free Reasoning Evaluation
Hangfeng He, Hongming Zhang, Dan Roth
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
From Sparse to Soft Mixtures of Experts
Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Neil Houlsby
- Published: 16 Jan 2024, Last Modified: 05 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
Jiacheng Lin, Meng XU, Zhihua Xiong, Huangang Wang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
StyleAdapter: A Unified Stylized Image Generation Model without Test-Time Fine-Tuning
Zhouxia Wang, Xintao Wang, Liangbin Xie, Zhongang Qi, Ying Shan, Wenping Wang, Ping Luo
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CARSO: Blending Adversarial Training and Purification Improves Adversarial Robustness
Emanuele Ballarin, Alessio ansuini, Luca Bortolussi
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
$\mathrm{BP}(\lambda)$: bias-free online learning via synthetic gradients
Joseph Oliver Pemberton, Rui Ponte Costa
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone