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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
'20
'25

Papers (including subtopics)

Confidence-Aware Learning for Deep Neural Networks ICML 2020 ConjNLI: Natural Language Inference Over Conjunctive Sentences EMNLP 2020 ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020 Conservative Uncertainty Estimation By Fitting Prior Networks ICLR 2020 Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling ACL 2020 Consistency Regularization for Certified Robustness of Smoothed Classifiers NeurIPS 2020 Consistent Response Generation with Controlled Specificity EMNLP 2020 Consistent Video Style Transfer via Compound Regularization AAAI 2020 Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers EMNLP 2020 Constrained Ratio Mask for Speech Enhancement Using DNN Interspeech 2020 Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features AAAI 2020 Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning ICML 2020 Context-Aware Goodness of Pronunciation for Computer-Assisted Pronunciation Training Interspeech 2020 Context-Aware Group Captioning via Self-Attention and Contrastive Features CVPR 2020 Context-aware Stand-alone Neural Spelling Correction EMNLP 2020 Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition Interspeech 2020 Context Prior for Scene Segmentation CVPR 2020 Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation ACL 2020 Contextual Embeddings: When Are They Worth It? ACL 2020 Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing EMNLP 2020 Contextualized Sparse Representations for Real-Time Open-Domain Question Answering ACL 2020 Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model Interspeech 2020 Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL 2020 Contextual Modulation for Relation-Level Metaphor Identification EMNLP 2020 Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns ACL 2020