conftrace_

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019
Region Proposal by Guided Anchoring CVPR 2019
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation CVPR 2019
InverseRenderNet: Learning Single Image Inverse Rendering CVPR 2019
Spectral Metric for Dataset Complexity Assessment CVPR 2019
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices CVPR 2019
Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection CVPR 2019
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks CVPR 2019
Sliced Wasserstein Generative Models CVPR 2019
Polarimetric Camera Calibration Using an LCD Monitor CVPR 2019
Robust Video Stabilization by Optimization in CNN Weight Space CVPR 2019
Single Image Deraining: A Comprehensive Benchmark Analysis CVPR 2019
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections CVPR 2019
Compressing Convolutional Neural Networks via Factorized Convolutional Filters CVPR 2019
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables CVPR 2019
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019
Describing Like Humans: On Diversity in Image Captioning CVPR 2019
Sphere Generative Adversarial Network Based on Geometric Moment Matching CVPR 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019
A General and Adaptive Robust Loss Function CVPR 2019
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration CVPR 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach CVPR 2019
Parallel Optimal Transport GAN CVPR 2019