Papers
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao, Wenzheng Chen, Tommy Xiang et al.
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti et al.
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron, Ishan Misra, Julien Mairal et al.
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry, Naeemullah Khan, Puneet Dokania et al.
Field-wise Learning for Multi-field Categorical Data
Zhibin Li, Jian Zhang, Yongshun Gong et al.
Limits on Testing Structural Changes in Ising Models
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Neuron-level Structured Pruning using Polarization Regularizer
Tao Zhuang, Zhixuan Zhang, Yuheng Huang et al.
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
GANSpace: Discovering Interpretable GAN Controls
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen et al.
Approximate Cross-Validation with Low-Rank Data in High Dimensions
Will Stephenson, Madeleine Udell, Tamara Broderick
Inference for Batched Bandits
Kelly Zhang, Lucas Janson, Susan Murphy
Dynamic Submodular Maximization
Morteza Monemizadeh
Generalization Bound of Gradient Descent for Non-Convex Metric Learning
MINGZHI DONG, Xiaochen Yang, Rui Zhu et al.
DynaBERT: Dynamic BERT with Adaptive Width and Depth
Lu Hou, Zhiqi Huang, Lifeng Shang et al.
Optimal Query Complexity of Secure Stochastic Convex Optimization
Wei Tang, Chien-Ju Ho, Yang Liu
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel, Dhruv Mahajan, Bruno Korbar et al.
ShapeFlow: Learnable Deformation Flows Among 3D Shapes
Chiyu Jiang, Jingwei Huang, Andrea Tagliasacchi et al.
Provably adaptive reinforcement learning in metric spaces
Tongyi Cao, Akshay Krishnamurthy
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform
Jonathan Lacotte, Sifan Liu, Edgar Dobriban et al.
Neural Complexity Measures
Yoonho Lee, Juho Lee, Sung Ju Hwang et al.
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
Saim Wani, Shivansh Patel, Unnat Jain et al.
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
Simone Rossi, Sebastien Marmin, Maurizio Filippone
Coherent Hierarchical Multi-Label Classification Networks
Eleonora Giunchiglia, Thomas Lukasiewicz
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz et al.