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Learning Types

56,254 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 (1,984) 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)

Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction NeurIPS 2023 Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification ICCV 2023 Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images CVPR 2023 Interventional Causal Representation Learning ICML 2023 Intervention-Based Alignment of Code Search with Execution Feedback EMNLP 2023 Interview Evaluation: A Novel Approach for Automatic Evaluation of Conversational Question Answering Models EMNLP 2023 Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP NeurIPS 2023 Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models CVPR 2023 Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup CVPR 2023 Introducing Language Guidance in Prompt-based Continual Learning ICCV 2023 Introducing Self-Supervised Phonetic Information for Text-Independent Speaker Verification Interspeech 2023 Introducing Semantics into Speech Encoders ACL 2023 Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning AAAI 2023 Invariance in Policy Optimisation and Partial Identifiability in Reward Learning ICML 2023 Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames ICML 2023 Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition ICCV 2023 Inverse Compositional Learning for Weakly-supervised Relation Grounding ICCV 2023 Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation NeurIPS 2023 Inverse Reinforcement Learning for Text Summarization EMNLP 2023 Inverse Scaling Can Become U-Shaped EMNLP 2023 Investigating Efficiently Extending Transformers for Long Input Summarization EMNLP 2023 Investigating Glyph-Phonetic Information for Chinese Spell Checking: What Works and What’s Next? ACL 2023 Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning ACL 2023 Investigating Multi-source Active Learning for Natural Language Inference EACL 2023 Investigating Pre-trained Audio Encoders in the Low-Resource Condition Interspeech 2023