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Theory

4,950 papers

Papers per year

Papers

Rate of Convergence of Polynomial Networks to Gaussian Processes COLT 2022
Width is Less Important than Depth in ReLU Neural Networks COLT 2022
Computational-Statistical Gap in Reinforcement Learning COLT 2022
Approximate Cluster Recovery from Noisy Labels COLT 2022
Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini’s Regret COLT 2022
Label noise (stochastic) gradient descent implicitly solves the Lasso for quadratic parametrisation COLT 2022
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm COLT 2022
Efficient Convex Optimization Requires Superlinear Memory COLT 2022
On characterizations of learnability with computable learners COLT 2022
Generalization Bounds via Convex Analysis COLT 2022
Universality of empirical risk minimization COLT 2022
Robust Sparse Mean Estimation via Sum of Squares COLT 2022
Eigenspace Restructuring: A Principle of Space and Frequency in Neural Networks COLT 2022
Complete Policy Regret Bounds for Tallying Bandits COLT 2022
The DEVIL Is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting CVPR 2022
Maximum Consensus by Weighted Influences of Monotone Boolean Functions CVPR 2022
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022
Towards Better Understanding Attribution Methods CVPR 2022
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective CVPR 2022
Few-Shot Backdoor Defense Using Shapley Estimation CVPR 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters CVPR 2022
Texture-Based Error Analysis for Image Super-Resolution CVPR 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? CVPR 2022
Enabling Equivariance for Arbitrary Lie Groups CVPR 2022
A Structured Dictionary Perspective on Implicit Neural Representations CVPR 2022