ICLR 2024 Conference Submissions

Delving Deep into Sim2Real Transformation: Maximizing Impact of Synthetic Data in Training
Hyungtae Lee, Yan Zhang, Yi-Ting Shen, Heesung Kwon, Shuvra Shikhar Bhattacharyya
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Atoms as Words: A Novel Approach to Deciphering Material Properties using NLP-inspired Machine Learning on Crystallographic Information Files (CIFs)
Lalit Yadav
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LegoNet: Piecing Together and Breaking Apart Sub-Networks for Scalable Multi-task Learning
Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Erik Learned-Miller, Chuang Gan
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Xixin Wu, Yoon Kim, Helen M. Meng, James R. Glass
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Generative Augmentation Framework for Contrastive Learning
Samuel Vincent Armstrong, Abdul Matin, Shrideep Pallickara, Sangmi Pallickara
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Prompting-based Efficient Temporal Domain Generalization
Sepidehsadat Hosseini, Mengyao Zhai, Hossein Hajimirsadeghi, Frederick Tung
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FARS: FSM-Augmentation to Make LLMs Hallucinate the Right APIs
Subendhu Rongali, Chandana Satya Prakash, Arpit Gupta, Wael Hamza
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Subnetworks
Tim Whitaker, Darrell Whitley
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Video Decomposition Prior: Editing Videos Layer by Layer
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Neighborhood-Informed Diffusion Model for Source-Free Domain Adaptation: Retrieving Source Ground Truth from Target Query's Neighbors
Jing Wang, Wonho Bae, Jiahong Chen, Junhyug Noh
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Convergence of AdaGrad-Norm for Non-Convex Optimization
Ruinan Jin, Xiaoyu Wang
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Anarchic Federated Bilevel Optimization
Dongsheng Li, Xiaowen Gong, Shiwen Mao, Yang Zhou
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
Mustafa Shukor, Alexandre Rame, Corentin Dancette, Matthieu Cord
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Adam Block, Dylan J Foster, Akshay Krishnamurthy, Max Simchowitz, Cyril Zhang
- Published: 16 Jan 2024, Last Modified: 03 May 2024
- ICLR 2024 poster
- Readers: Everyone
On Stationary Point Convergence of PPO-Clip
Ruinan Jin, Shuai Li, Baoxiang Wang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Make a Donut: Language-Guided Hierarchical EMD-Space Planning for Zero-shot Deformable Object Manipulation
Yang You, Bokui Shen, Congyue Deng, Haoran Geng, He Wang, Leonidas Guibas
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
E-MCTS: Deep Exploration by Planning with Epistemic Uncertainty
Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks
Jie Hu, Vishwaraj Doshi, Do Young Eun
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Image Hijacks: Adversarial Images can Control Generative Models at Runtime
Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
High-dimensional SGD aligns with emerging outlier eigenspaces
Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang, Aukosh Jagannath
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Infinitely Deep Residual Networks: Unveiling Wide Neural ODEs as Gaussian Processes
Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hadamard Domain Training with Integers for Class Incremental Quantized Learning
Martin Schiemer, Clemens JS Schaefer, Jayden Parker Vap, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CPLLM: Clinical Prediction with Large Language Models
Ofir Ben Shoham, Nadav Rappoport
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Attention-Only Transformers and Implementing MLPs with Attention Heads
Robert Huben, Valerie Morris
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone