ICML 2023 Conference Submissions

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
Rasmus Høier, D. Staudt, Christopher Zach
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Identifying Useful Learnwares for Heterogeneous Label Spaces
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
Matthew Dowling, Yuan Zhao, Il Memming Park
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Fair Neighbor Embedding
Jaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E. Santos, Zachary R Fox, Nicholas Lubbers, Yen Ting Lin
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Few-Sample Feature Selection via Feature Manifold Learning
David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
Marina Knittel, Max Springer, John P Dickerson, MohammadTaghi Hajiaghayi
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Distribution Free Prediction Sets for Node Classification
Jase Clarkson
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Bandit Online Linear Optimization with Hints and Queries
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Federated Online and Bandit Convex Optimization
Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Test-time Adaptation with Slot-Centric Models
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Representation-Driven Reinforcement Learning
Ofir Nabati, Guy Tennenholtz, Shie Mannor
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
Vaclav Voracek, Matthias Hein
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
LIV: Language-Image Representations and Rewards for Robotic Control
Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
On the Relationship Between Explanation and Prediction: A Causal View
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
RGE: A Repulsive Graph Rectification for Node Classification via Influence
Jaeyun Song, SungYub Kim, Eunho Yang
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Generative Pretraining for Black-Box Optimization
Satvik Mehul Mashkaria, Siddarth Krishnamoorthy, Aditya Grover
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Representer Point Selection for Explaining Regularized High-dimensional Models
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Efficient displacement convex optimization with particle gradient descent
Hadi Daneshmand, Jason D. Lee, Chi Jin
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone