Papers
Sharper Generalization Bounds for Pairwise Learning
Yunwen Lei, Antoine Ledent, Marius Kloft
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization
Qi Chen, Lin Sun, Ernest Cheung et al.
Learning to Learn with Feedback and Local Plasticity
Jack Lindsey, Ashok Litwin-Kumar
Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata Mukherjee, Ahmed Awadallah
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim et al.
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin, Nadav Cohen
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking
Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari
On Convergence and Generalization of Dropout Training
Poorya Mianjy, Raman Arora
Regret in Online Recommendation Systems
Kaito Ariu, Narae Ryu, Se-Young Yun et al.
Escaping the Gravitational Pull of Softmax
Jincheng Mei, Chenjun Xiao, Bo Dai et al.
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
Ben Usman, Avneesh Sud, Nick Dufour et al.
Hypersolvers: Toward Fast Continuous-Depth Models
Michael Poli, Stefano Massaroli, Atsushi Yamashita et al.
WOR and p's: Sketches for ℓ_p-Sampling Without Replacement
Edith Cohen, Rasmus Pagh, David Woodruff
CircleGAN: Generative Adversarial Learning across Spherical Circles
Woohyeon Shim, Minsu Cho
Self-training Avoids Using Spurious Features Under Domain Shift
Yining Chen, Colin Wei, Ananya Kumar et al.
Fair Hierarchical Clustering
Sara Ahmadian, Alessandro Epasto, Marina Knittel et al.
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
Robin Schirrmeister, Yuxuan Zhou, Tonio Ball et al.
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang, Hongge Chen, Chaowei Xiao et al.
Learning by Minimizing the Sum of Ranked Range
Shu Hu, Yiming Ying, xin wang et al.
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Xiang Li, Wenhai Wang, Lijun Wu et al.
Sparse and Continuous Attention Mechanisms
André Martins, António Farinhas, Marcos Treviso et al.
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula
Yuxuan Zhao, Madeleine Udell
Learning discrete distributions: user vs item-level privacy
Yuhan Liu, Ananda Theertha Suresh, Felix Xinnan X Yu et al.
Train-by-Reconnect: Decoupling Locations of Weights from Their Values
Yushi Qiu, Reiji Suda