ICLR 2024 Conference Submissions

A Lennard-Jones Layer for Distribution Normalization
Mulun Na, Jonathan Klein, Dmitry Lyakhov, Biao Zhang, Wojciech Pałubicki, Soren Pirk, Dominik Michels
- 22 Sept 2023 (modified: 05 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Dissecting Language Models: Machine Unlearning via Selective Pruning
Nicky Pochinkov, Nandi Schoots
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
VeRA: Vector-based Random Matrix Adaptation
Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki M Asano
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Explaining Emergent In-Context Learning as Kernel Regression
Chi Han, Ziqi Wang, Han Zhao, Heng Ji
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Asymmetric Momentum: A Rethinking of Gradient Descent
Gongyue Zhang, Dinghuang Zhang, Shuwen Zhao, Donghan Liu, Carrie M. Toptan, Honghai LIU
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Explaining grokking through circuit efficiency
Vikrant Varma, Rohin Shah, Zachary Kenton, Janos Kramar, Ramana Kumar
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Lookahead Sharpness-Aware Minimization
Runsheng Yu, Youzhi Zhang, James Kwok
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Joint Representations for Reinforcement Learning with Multiple Sensors
Philipp Becker, Sebastian Markgraf, Fabian Otto, Gerhard Neumann
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From Interpolation to Extrapolation: Complete Length Generalization for Arithmetic Transformers
Shaoxiong Duan, Yining Shi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How far can we go without finetuning?
Dmitry Kangin, Plamen P Angelov
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Qi Zhao, Shijie Wang, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Plug-and-Play Image Registration Network
Junhao Hu, Weijie Gan, Zhixin Sun, Hongyu An, Ulugbek Kamilov
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
Haixin Wang, Jiaxin LI, Anubhav Dwivedi, Kentaro Hara, Tailin Wu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
What Makes for Good Visual Tokenizers for Large Language Models
Guangzhi Wang, Yixiao Ge, Xiaohan Ding, Mohan Kankanhalli, Ying Shan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
Jacob Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel faissol, Brenden K. Petersen, Mikel Landajuela
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Stochastic Competition Networks for Deep Learning on Tabular Data
Andreas Voskou, Charalambos Christoforou, Sotirios Chatzis
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Disentangling the Link Between Image Statistics and Human Perception
Alexander Hepburn, Valero Laparra, Raul Santos-Rodriguez, Jesus Malo
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ARTIST: Towards Disentangled Text Painter with Diffusion Models
Yufan Zhou, Jianyi Zhang, Jiuxiang Gu, Curtis Wigington, Tong Yu, Tong Sun, Ruiyi Zhang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MapLearn: Indoor Mapping using Audio
Zhijian Yang, Romit Roy Choudhury
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Omayma Mahjoub, Ruan John de Kock, Siddarth Singh, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Rihab Gorsane, Arnu Pretorius
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
3D Interacting Hands Diffusion Model
Gyeongsik Moon, Weipeng Xu, Rohan Joshi, Breannan Smith, Takaaki Shiratori
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Aligning Agents like Large Language Models
Adam Jelley, Yuhan Cao, David Bignell, Sam Devlin, Tabish Rashid
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation
Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip Torr, Puneet K. Dokania
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Identifying Interpretable Features in Convolutional Neural Networks
David A. Klindt, Sophia Sanborn, Francisco Acosta, FREDERIC P POITEVIN, Nina Miolane
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone