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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Fast Online Hashing with Multi-Label Projection AAAI 2023 Fast Online Node Labeling for Very Large Graphs ICML 2023 Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control ICML 2023 Fast Rates for Maximum Entropy Exploration ICML 2023 FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction ICCV 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks AAAI 2023 FastSwap: A Lightweight One-Stage Framework for Real-Time Face Swapping WACV 2023 Fast Traversability Estimation for Wild Visual Navigation RSS 2023 Fault Injection Based Interventional Causal Learning for Distributed Applications AAAI 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023 FC-MTLF: A Fine- and Coarse-grained Multi-Task Learning Framework for Cross-Lingual Spoken Language Understanding Interspeech 2023 FC-TrackNet: Fast Convergence Net for 6D Pose Tracking in Synthetic Domains AAAI 2023 Feature Adaptation for Sparse Linear Regression NeurIPS 2023 Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract) AAAI 2023 Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023 Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification AAAI 2023 Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning NeurIPS 2023 Feature-Level Debiased Natural Language Understanding AAAI 2023 Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples NeurIPS 2023 Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks AAAI 2023 Feature Normalization for Fine-tuning Self-Supervised Models in Speech Enhancement Interspeech 2023 Feature Selection in the Contrastive Analysis Setting NeurIPS 2023 Feature Separation and Recalibration for Adversarial Robustness CVPR 2023 Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness AAAI 2023