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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

38
179
3,018
5,737
'10
'15
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'25

Papers (including subtopics)

Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension CVPR 2020 CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models EMNLP 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning AAAI 2020 CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP IJCAI 2020 Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings Interspeech 2020 COSMIC: COmmonSense knowledge for eMotion Identification in Conversations EMNLP 2020 Cost Volume Pyramid Based Depth Inference for Multi-View Stereo CVPR 2020 COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment AAAI 2020 Co-Tuning for Transfer Learning NeurIPS 2020 Count-Based Exploration with the Successor Representation AAAI 2020 Counterexample-Guided Learning of Monotonic Neural Networks NeurIPS 2020 Counterfactual Off-Policy Training for Neural Dialogue Generation EMNLP 2020 Counterfactual Samples Synthesizing for Robust Visual Question Answering CVPR 2020 Counterfactual Vision and Language Learning CVPR 2020 Counting Out Time: Class Agnostic Video Repetition Counting in the Wild CVPR 2020 Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations EMNLP 2020 Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020 Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation ACL 2020 COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules EMNLP 2020 Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset EMNLP 2020 Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search NeurIPS 2020 Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing CVPR 2020 Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment AAAI 2020 Cross-Batch Memory for Embedding Learning CVPR 2020 Cross-Domain Correspondence Learning for Exemplar-Based Image Translation CVPR 2020