ICLR 2024 Conference Submissions

On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
James Chapman, Lennie Wells, Ana Lawry Aguila
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Segment Anything Model is a Good Teacher for Local Feature Learning
Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, Changwei Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Temporal Flexibility in Spiking Neural Networks: A Novel Training Method for Enhanced Generalization Across Time Steps
Kangrui Du, Yuhang Wu, Shikuang Deng, Shi Gu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure
Haotong Yang, Fanxu Meng, Zhouchen Lin, Muhan Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DECENTRALIZED MULTI-AGENT REINFORCEMENT LEARNING VIA ANTICIPATION SHARING
Yue Jin, Shuangqing Wei, Giovanni Montana
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Jakob Schäfer, Georg Martius, Anna Levina
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Revisiting Traffic Forecasting from a PINN Perspective
Arian Prabowo, Flora D. Salim
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS
Lijia Yu, Xiao-Shan Gao, Lijun Zhang
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Neural Contractive Dynamical Systems
Hadi Beik Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Sparsistency for inverse optimal transport
Francisco Andrade, Gabriel Peyré, Clarice Poon
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
What Do GNNs Actually Learn? Towards Understanding their Representations
Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus Maier-Hein, Paul F Jaeger
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
A Recipe for Watermarking Diffusion Models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-man Cheung, Min Lin
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin CHEN
- Published: 16 Jan 2024, Last Modified: 22 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Noise-free Score Distillation
Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DINAR: Fine-Grained Privacy Preserving Federated Learning
Cédric BOSCHER, Fatima Elhattab, Sara Bouchenak
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Scalable Lipschitz Estimation for CNNs
Yusuf Sulehman, Tingting Mu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Differentially Private Principal Component Analysis for Vertically Partitioned Data
Ergute Bao, Fei Wei, Xiaokui Xiao, Tianyu Pang, Chao Du
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Small Variance, Big Fairness: A Path to Harmless Fairness without Demographics
Xuanqian Wang, Jing Li, Ivor Tsang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
Hao Wang, Chenyi Zhang, Tongyang Li
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
Yanqin Jiang, Li Zhang, Jin Gao, Weiming Hu, Yao Yao
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Diverse Projection Ensembles for Distributional Reinforcement Learning
Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
KEFI: Kernel-based Feature Identification for Generalizable Classification
Long Tung Vuong, Chuanxia Zheng, Manh Luong, Thanh-Toan Do, Trung Le, Dinh Phung
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone