ICLR 2024 Conference Submissions

Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Zhibin Gou, Zhihong Shao, Yeyun Gong, yelong shen, Yujiu Yang, Nan Duan, Weizhu Chen
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
ACHIEVING DYNAMIC ACCURACY IN MACHINE-LEARNED CG POTENTIALS BY MODULATING POTENTIAL ENERGY LANDSCAPE
Jinu Jeong, Ishan Nadkarni, N R Aluru
- 22 Sept 2023 (modified: 12 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Are Large Language Models Post Hoc Explainers?
Nicholas Kroeger, Dan Ley, Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sample-Efficient Quality-Diversity by Cooperative Coevolution
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye HAO, Chao Qian
- Published: 16 Jan 2024, Last Modified: 08 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Multi-Agent Interpolated Policy Gradients
Yueheng Li, Guangming Xie
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han
- Published: 16 Jan 2024, Last Modified: 28 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage VAE
Chenghui Zhou, Barnabas Poczos
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Hierarchical Gaussian Mixture Normalizing Flows Modeling for Multi-Class Anomaly Detection
Xincheng Yao, Ruoqi Li, Yan Luo, Chao Gao, Chongyang Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to (Learn at Test Time)
Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Stoichiometry Representation Learning with Polymorphic Crystal Structures
Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive Multi-head Contrastive Learning
Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Zero and Few-shot Semantic Parsing with Ambiguous Inputs
Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning
Yongxin Guo, Xiaoying Tang, Tao Lin
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Theoretical insights into pseudo-label-based semi-supervised learning: Convergence rate and sample complexity analysis
Zeping Min, Qian Ge, Cheng Tai
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Graph Generation with $K^2$-trees
Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Clustering for Protein Representation Learning
Ruijie Quan, Wenguan Wang, Fan Ma, Hehe Fan, Yi Yang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Strategic Classification with Unforeseeable Outcomes
Tian Xie, Zhiqun Zuo, Xueru Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CI-VAE: a Generative Deep Learning Model for Class-Specific Data Interpolation
Mohsen Nabian, Zahra Eftekhari, Chi Wah Wong
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Guarantees for Non-convex Pairwise SGD with Heavy Tails
Jun Chen, Hong Chen, Bin Gu, Tieliang Gong, Guodong Liu, Yingjie Wang, Weifu Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Self-Supervision is Not All You Need: In Defense of Semi-Supervised Learning
Rohit Gupta, Mamshad Nayeem Rizve, Swetha Sirnam, Navid Kardan, Mubarak Shah
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LayerNAS: Neural Architecture Search in Polynomial Complexity
Yicheng Fan, Dana Alon, JINGYUE SHEN, Daiyi Peng, Keshav Kumar, Xinyu Feng, Yun Long, Xin Wang, Fotis Iliopoulos, Da-Cheng Juan, Erik Vee
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin, Hye Won Chung
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Manifold Preserving Guided Diffusion
Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Neural Common Neighbor with Completion for Link Prediction
Xiyuan Wang, Haotong Yang, Muhan Zhang
- Published: 16 Jan 2024, Last Modified: 31 Mar 2024
- ICLR 2024 poster
- Readers: Everyone