ICLR 2024 Conference Submissions

Recursive Score Estimation Accelerates Diffusion-Based Monte Carlo
Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Ensemble Systems Representation for Function Learning over Manifolds
Wei Zhang, Vignesh Narayanan, Jr-Shin Li
- 24 Sept 2023 (modified: 01 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Generalization in diffusion models arises from geometry-adaptive harmonic representations
Zahra Kadkhodaie, Florentin Guth, Eero P Simoncelli, Stéphane Mallat
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
Simplicity Bias of SGD via Sharpness Minimization
Khashayar Gatmiry, Zhiyuan Li, Luana Ruiz, Sashank J. Reddi, Stefanie Jegelka
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Structural Fairness-aware Active Learning for Graph Neural Networks
Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
Jaemin Cho, Yushi Hu, Jason Michael Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, Su Wang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
In-context Curriculum for Mathematical Reasoning in Small Language Models
Jayant Parashar, Suchendra M. Bhandarkar
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The Consensus Game: Language Model Generation via Equilibrium Search
Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Vector Quantized Representations for Efficient Hierarchical Delineation of Behavioral Repertoires
Tianqing Li, Ugne Klibaite, Jumana Akoad, Joshua Huang Wu, Timothy W DUNN
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
STRUCTDROP: A STRUCTURED RANDOM ALGORITHM TOWARDS EFFICIENT LARGE-SCALE GRAPH TRAINING
Hongyi Liu, Zirui Liu, Kaixiong Zhou, Tong Zhao, Neil Shah, Xia Hu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication
Zhe Zhao, Qingyun Liu, Huan Gui, Bang An, Lichan Hong, Ed H. Chi
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Zhiyuan Li, Hong Liu, Denny Zhou, Tengyu Ma
- Published: 16 Jan 2024, Last Modified: 04 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Adaptive Pairwise Encodings for Link Prediction
Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Emily Redberg, Zhiqi Bu
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning
Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Efficient Multi-task Reinforcement Learning via Selective Behavior Sharing
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J Lim
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms
Yi Li, Honghao Lin, David Woodruff
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Reverse Diffusion Monte Carlo
Xunpeng Huang, Hanze Dong, Yifan HAO, Yian Ma, Tong Zhang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
LLM-based Stock Market Trend Prediction
Manaswini Swamy, Arunima Shukla, James Purtilo
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Dynamics of Learning Time-Aware Behavior with RNNs
Peter DelMastro, Rushiv Arora, Edward Rietman, Hava T Siegelmann
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Can LLMs Effectively Leverage Graph Structural Information: When and Why
Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Improving Branching in Neural Network Verification with Bound Implication Graph
Zhuolin Yang, Kaidi Xu, Bo Li, Huan Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Counting Graph Substructures with Graph Neural Networks
Charilaos Kanatsoulis, Alejandro Ribeiro
- Published: 16 Jan 2024, Last Modified: 18 Apr 2024
- ICLR 2024 poster
- Readers: Everyone