conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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1,314

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3,689

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8,201

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Papers (including subtopics)

Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix ICLR 2022 Optimistic Initialization for Exploration in Continuous Control AAAI 2022 Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games NeurIPS 2022 Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees NeurIPS 2022 Optimizing Data Collection for Machine Learning NeurIPS 2022 Optimizing Neural Networks with Gradient Lexicase Selection ICLR 2022 Optimizing Relevance Maps of Vision Transformers Improves Robustness NeurIPS 2022 Oracle-Efficient Online Learning for Smoothed Adversaries NeurIPS 2022 Oracle Inequalities for Model Selection in Offline Reinforcement Learning NeurIPS 2022 ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning Interspeech 2022 Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering ICML 2022 OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression NeurIPS 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NeurIPS 2022 Orofacial somatosensory inputs in speech perceptual training modulate speech production Interspeech 2022 Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022 OSOP: A Multi-Stage One Shot Object Pose Estimation Framework CVPR 2022 OSSGAN: Open-Set Semi-Supervised Image Generation CVPR 2022 Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data AAAI 2022 Outlier Dimensions that Disrupt Transformers are Driven by Frequency EMNLP 2022 Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis AISTATS 2022 Outlier-Robust Sparse Estimation via Non-Convex Optimization NeurIPS 2022 Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions NeurIPS 2022 Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022 Out-of-Distribution Detection via Conditional Kernel Independence Model NeurIPS 2022 Out of Distribution Detection via Neural Network Anchoring ACML 2022