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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)

Improving Word Translation via Two-Stage Contrastive Learning ACL 2022 Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions NeurIPS 2022 Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping EMNLP 2022 Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little Cost ACL 2022 “I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset EMNLP 2022 ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection WACV 2022 Incorporating Centering Theory into Neural Coreference Resolution NAACL 2022 Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking EMNLP 2022 Increasing Confidence in Adversarial Robustness Evaluations NeurIPS 2022 Incremental Cross-View Mutual Distillation for Self-Supervised Medical CT Synthesis CVPR 2022 Incremental False Negative Detection for Contrastive Learning ICLR 2022 Incremental Intent Detection for Medical Domain with Contrast Replay Networks ACL 2022 Incremental Learning in Semantic Segmentation From Image Labels CVPR 2022 In Defense of the Unitary Scalarization for Deep Multi-Task Learning NeurIPS 2022 Independence-based Joint Dereverberation and Separation with Neural Source Model Interspeech 2022 Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples NeurIPS 2022 Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models EMNLP 2022 Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning EMNLP 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS 2022 InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples COLING 2022 Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation WACV 2022 InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition CVPR 2022 InforMask: Unsupervised Informative Masking for Language Model Pretraining EMNLP 2022 Information-Theoretic GAN Compression with Variational Energy-based Model NeurIPS 2022 Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue EMNLP 2022