ICLR 2024 Conference Submissions

Masked AutoDecoder is Effective Multi-Task Vision Generalist
Han Qiu, Jiaxing Huang, Peng Gao, Lewei Lu, Shijian Lu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
HeroLT: Benchmarking Heterogeneous Long-Tailed Learning
Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CoNO: Complex Neural Operator for Continuous Dynamical Systems
Karn Tiwari, N M Anoop Krishnan, Prathosh AP
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Addressing Challenges in Reinforcement Learning for Recommender Systems with Conservative Objectives
Melissa Mozifian, Tristan Sylvain, R. David Evans, Lili Meng
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Charles Guille-Escuret, Pierre-Andre Noel, Ioannis Mitliagkas, David Vazquez, Joao Monteiro
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Breaking Neural Network Scaling Laws with Modularity
Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila R Fiete
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ReLU for Inference Acceleration
Kinjal Pravinbhai Patel, Ben Goel, Ofer Shai
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Sensitivity Sampling for Coreset-Based Data Selection
Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger, Vahab Mirrokni, David Saulpic, David Woodruff
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DISCRET: a self-interpretable framework for treatment effect estimation
Yinjun Wu, Neelay Velingker, Ziyang Li, Kan Chen, Mayank Keoliya, Mayur Naik, Qi Long, Eric Wong, Emily Getzen, Ravi Parikh
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition
Chenyu Liu, XINLIANG ZHOU, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Exact Computation of Inductive Bias
Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila R Fiete
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Large Pre-trained time series models for cross-domain Time series analysis tasks
Harshavardhan Kamarthi, B. Aditya Prakash
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficiency Pentathlon: A Standardized Benchmark for Efficiency Evaluation
Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael Teti
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Journey, Not the Destination: How Data Guides Diffusion Models
Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Uday Prabhu, Judy Hoffman
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Eliciting Attributions from LLMs with Minimal Supervision
Ramakanth Pasunuru, Koustuv Sinha, Armen Aghajanyan, LILI YU, Tianlu Wang, Daniel M. Bikel, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quality-Diversity through AI Feedback
Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Gregory Schott, Joel Lehman
- Published: 16 Jan 2024, Last Modified: 12 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Learning from Sparse Offline Datasets via Conservative Density Estimation
Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Formal Verification for Neural Networks with General Nonlinearities via Branch-and-Bound
Zhouxing Shi, Qirui Jin, J Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Castor: Causal Temporal Regime Structure Learning
Abdellah Rahmani, Pascal Frossard
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PEMs: Pre-trained Epidemic Time-Series Models
Harshavardhan Kamarthi, B. Aditya Prakash
- 22 Sept 2023 (modified: 06 Oct 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Federated contrastive GFlowNets
Tiago Silva, Amauri H Souza, Luiz Max Carvalho, Samuel Kaski, Diego Mesquita
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Informed weight initialization of Graph Neural Networks and its effect on Oversmoothing
Dimitrios Kelesis, Dimitris Fotakis, Georgios Paliouras
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Connecting NTK and NNGP: A Unified Theoretical Framework for Neural Network Learning Dynamics in the Kernel Regime
Yehonatan Avidan, Qianyi Li, Haim Sompolinsky
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone