ICLR 2024 Conference Submissions

Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning
Shangding Gu, Alois Knoll, Ming Jin
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Diffusion with Synthetic Features: Feature Imputation for Graphs with Partially Observed Features
Daeho Um, Sunoh Kim, Jiwoong Park, Seulki Park, Jin young Choi
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LST-Bench:A Benchmark for long sequence time-series forecasting Task
lanhao li, Haoyi Zhou, Bodan Chen, Siyang Xiao, Jianxin Li
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, SONU MEHTA, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Affine feature response transforms
Lynn Le, Nils Kimman, Thirza Dado, Yağmur Güçlütürk, Umut Güçlü
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Time2Image: A Unified Image Representation Framework for Time Series Classification
Xinyue Ren, Duo Li, Xiang Gao, Victor Wai Kin Chan
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FruitBin: A tunable large-scale dataset for advancing 6D Pose estimation in fruit bin picking automation
Guillaume Duret, Mahmoud ALI, NICOLAS CAZIN, Alexandre Chapin, Florence Zara, Emmanuel Dellandrea, Jan Peters, Liming Chen
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Uncovering the Spectrum of Graph Generative Models: From One-Shot to Sequential
Samuel Cognolato, Alessandro Sperduti, Luciano Serafini
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Universal Algorithm for Extreme Bandits with the Minimal Complexities
Zongyuan He, Yifeng Chen
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Summing Up the Facts: Additive Mechanisms behind Factual Recall in LLMs
Bilal Chughtai, Alan Cooney, Neel Nanda
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Task-Oriented Multi-View Representation Learning
Ren Wang, Haoliang Sun, Yuxiu Lin, Yongshun Gong, Xiushan Nie, Yilong Yin
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding the Mechanics and Dynamics of Memorisation in Large Language Models: A Case Study with Random Strings
Till Speicher, Aflah Mohammad Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
NeFL: Nested Federated Learning for Heterogeneous Clients
Honggu Kang, Seohyeon Cha, Jinwoo Shin, Jongmyeong Lee, Joonhyuk Kang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Harnessing Text to Image Diffusion for Dense Prediction Tasks
Yiqi Wang, Quanzeng You, Wentao Chen, Bin Shan, Jianbo Yuan, Yingjie Tian, Hongxia Yang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Aleksandar Makelov, Georg Lange, Atticus Geiger, Neel Nanda
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Fixed-Budget Best Arm Identification with Variance-Dependent Regret Bounds
Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Causal Inference Using LLM-Guided Discovery
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Predictive Checklists with Probabilistic Logic Programming
Yukti Makhija, Edward De Brouwer, Rahul G Krishnan
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions
Yuchong Sun, Che Liu, Jinwen Huang, Ruihua Song, Fuzheng Zhang, Zhongyuan Wang, Di ZHANG, Kun Gai
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Knowledge Graph Completion by Intermediate Variables Regularization
Changyi Xiao, Xiangnan He, Yixin Cao
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Attributed Graph Clustering via Coarsening with Modularity
Samarth Bhatia, Yukti Makhija, Manoj Kumar, Mohit Kataria, Sandeep Kumar
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
Charles Arnal, Felix Hensel, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frederic Chazal
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Prototypes-Injected Prompt for Federated Class Incremental Learning
Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, H Habibullah, Ryszard Kowalczyk
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Demonstration-Regularized RL
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Menard
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone