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

Seeing Voices and Hearing Voices: Learning Discriminative Embeddings Using Cross-Modal Self-Supervision Interspeech 2020 Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization CVPR 2020 See the Sound, Hear the Pixels WACV 2020 SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel CVPR 2020 Segment Aggregation for Short Utterances Speaker Verification Using Raw Waveforms Interspeech 2020 Segment-Level Effects of Gender, Nationality and Emotion Information on Text-Independent Speaker Verification Interspeech 2020 Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents AAAI 2020 Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract) AAAI 2020 Selection via Proxy: Efficient Data Selection for Deep Learning ICLR 2020 Selective Question Answering under Domain Shift ACL 2020 Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation CVPR 2020 Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image CVPR 2020 Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs NeurIPS 2020 Self-adaptive Re-weighted Adversarial Domain Adaptation IJCAI 2020 Self-Adaptive Training: beyond Empirical Risk Minimization NeurIPS 2020 Self-Attentional Credit Assignment for Transfer in Reinforcement Learning IJCAI 2020 Self-Attention ConvLSTM for Spatiotemporal Prediction AAAI 2020 Self-Attentive Hawkes Process ICML 2020 Self-Attentive Similarity Measurement Strategies in Speaker Diarization Interspeech 2020 Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery Interspeech 2020 Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation EMNLP 2020 Selfish Robustness and Equilibria in Multi-Player Bandits COLT 2020 Self-labelling via simultaneous clustering and representation learning ICLR 2020 SELF: Learning to Filter Noisy Labels with Self-Ensembling ICLR 2020 Self-Learning Transformations for Improving Gaze and Head Redirection NeurIPS 2020