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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)

Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020 Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences ACL 2020 Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages COLING 2020 Binarized Neural Architecture Search AAAI 2020 Binary Classification from Positive Data with Skewed Confidence IJCAI 2020 BINOCULARS for efficient, nonmyopic sequential experimental design ICML 2020 Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020 Bio-Inspired Hashing for Unsupervised Similarity Search ICML 2020 Biologically Inspired Mechanisms for Adversarial Robustness NeurIPS 2020 Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks ICLR 2020 Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020 Biologically Plausible Sequence Learning with Spiking Neural Networks AAAI 2020 BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages Interspeech 2020 Black-Box Adversarial Attack with Transferable Model-based Embedding ICLR 2020 Black-Box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples Interspeech 2020 Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework NeurIPS 2020 Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network CVPR 2020 Blind Video Temporal Consistency via Deep Video Prior NeurIPS 2020 Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning NeurIPS 2020 Boosting Adversarial Training with Hypersphere Embedding NeurIPS 2020 Boosting-Based Reliable Model Reuse ACML 2020 Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020 Boosting Semantic Human Matting With Coarse Annotations CVPR 2020 Boosting the Transferability of Adversarial Samples via Attention CVPR 2020 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020