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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Papers (including subtopics)

A Latent Source Model for Online Collaborative Filtering NeurIPS 2014 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 (Almost) No Label No Cry NeurIPS 2014 Alternating Minimization for Mixed Linear Regression ICML 2014 Altitude Training: Strong Bounds for Single-Layer Dropout NeurIPS 2014 A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions CVPR 2014 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 An Analysis of Active Learning with Uniform Feature Noise AISTATS 2014 An Autoencoder Approach to Learning Bilingual Word Representations NeurIPS 2014 An Efficient Algorithm for Large Scale Compressive Feature Learning AISTATS 2014 An Efficient Approach for Assessing Hyperparameter Importance ICML 2014 A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014 An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation JMLR 2014 An LP for Sequential Learning Under Budgets AISTATS 2014 An Online Learned Elementary Grouping Model for Multi-target Tracking CVPR 2014 A Novel M-Estimator for Robust PCA JMLR 2014 A PAC-Bayesian bound for Lifelong Learning ICML 2014 Approachability in unknown games: Online learning meets multi-objective optimization COLT 2014 Approximate Policy Iteration Schemes: A Comparison ICML 2014 Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014 Approximating Hierarchical MV-sets for Hierarchical Clustering NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 A* Sampling NeurIPS 2014 A second-order bound with excess losses COLT 2014