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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)

Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability AAAI 2021 Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation AAAI 2021 Exploiting Curriculum Learning in Unsupervised Neural Machine Translation EMNLP 2021 Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation AAAI 2021 Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution ACL 2021 Exploiting Image–Text Synergy for Contextual Image Captioning EACL 2021 Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study ACL 2021 Exploiting Learnable Joint Groups for Hand Pose Estimation AAAI 2021 Exploiting Reasoning Chains for Multi-hop Science Question Answering EMNLP 2021 Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network ICCV 2021 Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification AAAI 2021 Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection CVPR 2021 Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing CVPR 2021 Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings EMNLP 2021 Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning AAAI 2021 Exploit Visual Dependency Relations for Semantic Segmentation CVPR 2021 Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models ACL 2021 Exploratory Model Analysis Using Data-Driven Neuron Representations EMNLP 2021 Explore Image Deblurring via Encoded Blur Kernel Space CVPR 2021 Exploring Adversarial Fake Images on Face Manifold CVPR 2021 Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media EMNLP 2021 Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning CVPR 2021 Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts CVPR 2021 Exploring Explainable Selection to Control Abstractive Summarization AAAI 2021 Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing CVPR 2021