ICLR 2024 Conference Submissions

Always-Sparse Training with Guided Stochastic Exploration
Mike Heddes, Narayan Srinivasa, Tony Givargis, Alexandru Nicolau
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
- Published: 16 Jan 2024, Last Modified: 21 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Object centric architectures enable efficient causal representation learning
Amin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Adaptivity and Modularity for Efficient Generalization Over Task Complexity
Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Joshua M. Susskind, Samy Bengio
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
($\texttt{PEEP}$) $\textbf{P}$redicting $\textbf{E}$nzym$\textbf{e}$ $\textbf{P}$romiscuity with its Molecule Mate – an Attentive Metric Learning Solution
Xuxi Chen, Daniel Jesus Diaz, Chengyue Gong, Alex Dimakis, Adam Klivans, Zhangyang Wang, Tianlong Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Score Matching with Deep Equilibrium Layers
Yuhao Huang, Qingsong Wang, Akwum Onwunta, Bao Wang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Improving Prototypical Part Networks with Reward Reweighing, Reselection, and Retraining
Aaron Jiaxun Li, Robin Netzorg, Bin Yu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Neural Syntax Parser for Joint Segmentation and Anatomical Labelling of Vascular Tree Structures
Chen Zhou
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
Xingzhe He, Zhiwen Cao, Nicholas Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
- Published: 16 Jan 2024, Last Modified: 18 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Novel Domain Extrapolation with Large Language Models
Yijiang Li, Sucheng Ren, Weipeng DENG, Ying Gao, Edith C. H. Ngai, Haohan Wang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Alt-Text with Context: Improving Accessibility for Images on Twitter
Nikita Srivatsan, Sofia Samaniego, Omar Florez, Taylor Berg-Kirkpatrick
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Taming AI Bots: Controllability of Neural States in Large Language Models
Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu, Matteo Marchi, Rahul Ramesh
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Defining Expertise: Applications to Treatment Effect Estimation
Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
VibeSpace: Automatic vector embedding creation for arbitrary domains and mapping between them using large language models
Kipp Freud, Grant Stevens, Daniel Collins, Delmiro Daladier Sampaio Neto
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Depth-Guided Self-Supervised Learning: Seeing the World in 3D
Sumukh K Aithal, Anirudh Goyal, Alex Lamb, Yoshua Bengio, Michael Curtis Mozer
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AMPNet: Attention as Message Passing for Graph Neural Networks
Syed A Rizvi, Nhi Nguyen, Haoran Lyu, Benjamin W Christensen, Josue Ortega Caro, Emanuele Zappala, Maryam Bagherian, Antonio Henrique de Oliveira Fonseca, Christopher Lee Averill, Chadi Abdallah, Zhitao Ying, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens
- Published: 16 Jan 2024, Last Modified: 21 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
End-Effector-Elbow: A New Action Space for Robot Learning
Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
Shih-Hsin Wang, Yung-Chang Hsu, Justin Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Recurrent Linear Transformers
Subhojeet Pramanik, Esraa Elelimy, Marlos C. Machado, Adam White
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Time Series Modeling at Scale: A Universal Representation Across Tasks and Domains
Sabera J Talukder, Georgia Gkioxari
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Loco3D: Indoor Multiuser Locomotion 3D Dataset
Kojiro Takeyama, Yimeng Liu, Misha Sra
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
EXPLORING BATTERY USAGE IN ELECTRIC VEHICLES THROUGH GRAPH BASED CASCADED CLUSTERING
Dhanashree Balaram, Brett Dufford, Gianina Alina Negoita, William A. Paxton, Matthew Yen
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone