ICLR 2024 Conference Submissions

Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Stochastic interpolants with data-dependent couplings
Mark Goldstein, Michael Samuel Albergo, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FILI: Syntax Repair By Learning From Own Mistakes
Sahil Bhatia, Navneet Potti, Rishabh Singh
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Meta Compression: Learning to compress Deep Neural Networks
Ashutosh Vaishnav, Ankit Khatri, Vikas Garg, Mario Di Francesco
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Non-Autoregressive Machine Translation as Constrained HMM
Haoran Li, Zhanming Jie, Wei Lu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski, Nebojsa Jojic
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective
Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, GuanHao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Lifan Zhao, Yanyan Shen
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Structured Graph Reduction for Efficient GNN
Manoj Kumar, Subhanu Halder, Abhishek Gupta, Sandeep Kumar
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher D Manning
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Fair and Efficient Contribution Valuation for Vertical Federated Learning
Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael Friedlander, Yong Zhang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Poisoning-based Backdoor Attack against Vision-Language Model
Yiwei Zhang, Chaowei Xiao, Shutong Wu
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Principal Component Analysis for Cross-Sectionally Correlated Pricing Errors
Hyuksoo Kim, Saejoon Kim
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Self Guided Exploration for Automatic and Diverse AI Supervision
Hao Liu, Matei Zaharia, Pieter Abbeel
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Interpretable and Convergent Graph Neural Network Layers at Scale
Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Invariances via Neural Network Pruning
Derek Qiang Xu, Yizhou Sun, Wei Wang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on Wider Transformer Models
Xin Lu, Yanyan Zhao, Bing Qin
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
In-Context Learning through the Bayesian Prism
Madhur Panwar, Kabir Ahuja, Navin Goyal
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Fewer is More: Trojan Attacks on Parameter-Efficient Fine-Tuning
Lauren Hong, Ting Wang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RingAttention with Blockwise Transformers for Near-Infinite Context
Hao Liu, Matei Zaharia, Pieter Abbeel
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
L-MBOP-E: Latent-Model Based Offline Planning with Extrinsic Policy Guided Exploration
Imran Adham, Hang Wang, Sen Lin, Junshan Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Chain of Hindsight aligns Language Models with Feedback
Hao Liu, Carmelo Sferrazza, Pieter Abbeel
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Bounding the Robustness and Generalization for Individual Treatment Effect
Zhenlei Wang, Xu Chen, Xiaoxiao Xu, Lantao Hu, Peng Jiang, Kun Gai
- 24 Sept 2023 (modified: 02 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone