ICLR 2024 Conference Submissions

Abstractive Summarization through the PRISM of Decoding Strategies
Giacomo Frisoni, Luca Ragazzi, David Cohen, Gianluca Moro, Antonella Carbonaro, Claudio Sartori
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
Mingze Wang, Zeping Min, Lei Wu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
In defense of parameter sharing for model-compression
Aditya Desai, Anshumali Shrivastava
- Published: 16 Jan 2024, Last Modified: 01 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Decoupling Intrinsic and Measurement Trends: A Crucial Consideration in Time Series Causal Discovery
Pei Zhang, Biwei Huang, Linwei Tian, Kun Zhang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Spectral learning of shared dynamics between generalized-linear processes
Lucine L Oganesian, Omid G. Sani, Maryam Shanechi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Language-driven Open-Vocabulary Keypoint Detection for Animal Body and Face
Hao Zhang, Kaipeng Zhang, Lumin Xu, Shenqi Lai, Wenqi Shao, Nanning Zheng, Ping Luo, Yu Qiao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
Aditya Chattopadhyay, Kwan Ho Ryan Chan, Rene Vidal
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
An old dog can learn (some) new tricks: A tale of a three-decade old architecture
Grigorios Chrysos, Yixin Cheng, Jiankang Deng, Volkan Cevher
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generative Pre-Trained Speech Language Model with Efficient Hierarchical Transformer
Yongxin Zhu, Dan Su, Liqiang He, Linli Xu, Dong Yu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration
Stephen Obadinma, Xiaodan Zhu, Hongyu Guo
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Offline RL for Online RL: Decoupled Policy Learning for Mitigating Exploration Bias
Max Sobol Mark, Archit Sharma, Fahim Tajwar, Rafael Rafailov, Sergey Levine, Chelsea Finn
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
EraseDiff: Erasing Data Influence in Diffusion Models
Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Contextual Bandits with Online Neural Regression
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Evaluating Large Language Models at Evaluating Instruction Following
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning
Zhiyuan He, Yijun YANG, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Global Convergence of Natural Actor-Critic with Neural Network Parametrization
Mudit Gaur, Amrit Bedi, Di Wang, Vaneet Aggarwal
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How to Fine-Tune Vision Models with SGD
Ananya Kumar, Ruoqi Shen, Sebastien Bubeck, Suriya Gunasekar
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Backdoor Contrastive Learning via Bi-level Trigger Optimization
Weiyu Sun, Xinyu Zhang, Hao LU, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Sebastian Goodman, Basil Mustafa, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Marginal Benefit Induced Unsupervised Environment Design
Dexun Li, Wenjun Li, Pradeep Varakantham
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Novel Variational Lower Bound For Inverse Reinforcement Learning
Yikang Gui, Prashant Doshi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning
Daniel Huang, Christian L Camaño, Jonathan Tsegaye, Jonathan Austin Gale
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CAS: A Probability-Based Approach for Universal Condition Alignment Score
Chunsan Hong, ByungHee Cha, Tae-Hyun Oh
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone