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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)

DIP: Dual Incongruity Perceiving Network for Sarcasm Detection CVPR 2023 Directional Connectivity-Based Segmentation of Medical Images CVPR 2023 Disambiguated Lexically Constrained Neural Machine Translation ACL 2023 DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction CVPR 2023 DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training CVPR 2023 DISCO: Distilling Counterfactuals with Large Language Models ACL 2023 DiscoFlan: Instruction Fine-tuning and Refined Text Generation for Discourse Relation Label Classification ACL 2023 Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels ACL 2023 Discourse Structures Guided Fine-grained Propaganda Identification EMNLP 2023 Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning NeurIPS 2023 Discovering Universal Geometry in Embeddings with ICA EMNLP 2023 Discrete Key-Value Bottleneck ICML 2023 Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023 Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023 Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection CVPR 2023 Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023 Disease Network Constructor: a Pathway Extraction and Visualization ACL 2023 Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023 Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023 Disentangled Generative Models for Robust Prediction of System Dynamics ICML 2023 Disentangled Phonetic Representation for Chinese Spelling Correction ACL 2023 Disentangled Representation Learning for Unsupervised Neural Quantization CVPR 2023 Disentanglement via Latent Quantization NeurIPS 2023 Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization ACL 2023 Disentangling Voice and Content with Self-Supervision for Speaker Recognition NeurIPS 2023