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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477

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1,314

2,083

3,689

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8,201

8,755

9,258

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2000

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Papers (including subtopics)

General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Generative Adversarial Nets NeurIPS 2014 Gesture Recognition Portfolios for Personalization CVPR 2014 Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NeurIPS 2014 Grassmann Averages for Scalable Robust PCA CVPR 2014 Greedy Subspace Clustering NeurIPS 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014 Hard-Margin Active Linear Regression ICML 2014 Heterogeneous Domain Adaptation for Multiple Classes AISTATS 2014 Hierarchical Subquery Evaluation for Active Learning on a Graph CVPR 2014 High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014 Higher-Order Regret Bounds with Switching Costs COLT 2014 High Order Regularization for Semi-Supervised Learning of Structured Output Problems ICML 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014 Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014 Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014 Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014 Incremental Activity Modeling and Recognition in Streaming Videos CVPR 2014 Incremental Clustering: The Case for Extra Clusters NeurIPS 2014 Incremental Face Alignment in the Wild CVPR 2014 Incremental Learning of NCM Forests for Large-Scale Image Classification CVPR 2014 Incremental Local Gaussian Regression NeurIPS 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Instance-weighted Transfer Learning of Active Appearance Models CVPR 2014