ICLR 2024 Conference Submissions

Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets
Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E Turner, Alireza Makhzani
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Beyond adversarial examples: sampling and repairing diverse failures with RADIUM
Charles Dawson, Anjali Parashar, Chuchu Fan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Multi-fidelity Deep Symbolic Optimization
Felipe Leno da Silva, Jiachen Yang, Mikel Landajuela, Andre R Goncalves, Alexander Ladd, Daniel faissol, Brenden K. Petersen
- 21 Sept 2023 (modified: 04 May 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Natural Counterfactuals With Necessary Backtracking
Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph Representation Learning with Multi-granular Semantic Ensemble
Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding Unfairness via Training Concept Influence
Yuanshun Yao, Yang Liu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
Jaedong Hwang, Zhang-Wei Hong, Eric R Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R Fiete
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Augmenting Negative Representation for Continual Self-Supervised Learning
Sungmin Cha, Kyunghyun Cho, Taesup Moon
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Semi-supervised Domain Adaptation via Joint Error based Triplet Alignment
Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Optimisation-Based Multi-Modal Semantic Image Editing
Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LETI: Learning to Generate from Textual Interactions
Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning
Pengyuan Lu, Michele Caprio, ERIC EATON, Insup Lee
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon M Wood, Abhishek Das, Tess Smidt
- Published: 16 Jan 2024, Last Modified: 06 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Neural varifolds: an aggregate representation for quantifying geometry of point clouds
Juheon Lee, Xiaohao Cai, Carola-Bibiane Schönlieb, Simon Masnou
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DOMINO: A Dual-System for Multi-step Visual Language Reasoning
PeiFeng Wang, Olga Golovneva, Armen Aghajanyan, Xiang Ren, Muhao Chen, Asli Celikyilmaz, Maryam Fazel-Zarandi
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Concept Matching: Clustering-based Federated Continual Learning
Xiaopeng Jiang, Cristian Borcea
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan Ullman
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Adaptive Bilevel Optimization
Kimon Antonakopoulos, Shoham Sabach, Luca Viano, Mingyi Hong, Volkan Cevher
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding Graph Transformers by Generalized Propagation
Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip Torr
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Token Alignment via Character Matching for Subword Completion
Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, YUCHEN TIAN, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Bing Xiang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving
Xueliang Zhao, Wenda Li, Lingpeng Kong
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reward Adaptation Via Q-Manipulation
Kevin Jatin Vora, Yu Zhang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Robust NAS under adversarial training: benchmark, theory, and beyond
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Critical Learning Periods Emerge Even in Deep Linear Networks
Michael Kleinman, Alessandro Achille, Stefano Soatto
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone