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
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation
ICCV 2025
𝒜3: Automatic Alignment Framework for Attributed Text Generation
ACL 2025
A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
CVPR 2025
AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation
AAAI 2025
AA-SLLM: An Acoustically Augmented Speech Large Language Model for Speech Emotion Recognition
Interspeech 2025
A Balancing Act: Optimizing Classification and Retrieval in Cross-Modal Vision Models
MIDL 2025
ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects
CVPR 2025
ABHINAYA - A System for Speech Emotion Recognition In Naturalistic Conditions Challenge
Interspeech 2025
A Bias-Free Training Paradigm for More General AI-generated Image Detection
CVPR 2025
A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding
ACL 2025
AbsVis – Benchmarking How Humans and Vision-Language Models “See” Abstract Concepts in Images
EMNLP 2025
ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation
ICCV 2025
Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps
ACL 2025
Accelerating Adversarial Training on Under-Utilized GPU
IJCAI 2025
Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling
EMNLP 2025
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction
CVPR 2025
Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data
Interspeech 2025
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
AAAI 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
WACV 2025
ACECODER: Acing Coder RL via Automated Test-Case Synthesis
ACL 2025
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
ACL 2025
A Character-Centric Creative Story Generation via Imagination
ACL 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
ICCV 2025
A Closer Look at Backdoor Attacks on CLIP
ICML 2025
A Compact Model for Mathematics Problem Representations Distilled from BERT
AAAI 2025