Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
BitNet: 1-bit Pre-training for Large Language Models
JMLR 2025
Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs
EMNLP 2025
BJTU at BEA 2025 Shared Task: Task-Aware Prompt Tuning and Data Augmentation for Evaluating AI Math Tutors
ACL 2025
BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors
ACL 2025
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
AAAI 2025
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning
ACL 2025
Blind2Sound: Self-Supervised Image Denoising without Residual Noise
ICCV 2025
Blind Bitstream-corrupted Video Recovery via Metadata-guided Diffusion Model
CVPR 2025
Blinded by Context: Unveiling the Halo Effect of MLLM in AI Hiring
ACL 2025
Blind Men and the Elephant: Diverse Perspectives on Gender Stereotypes in Benchmark Datasets
EMNLP 2025
BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs
AAAI 2025
BlueRay@DravidianLangTech-2025: Fake News Detection in Dravidian Languages
NAACL 2025
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
IJCAI 2025
BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis
COLING 2025
BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting
NAACL 2025
BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
CVPR 2025
Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures
ICCV 2025
BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
EMNLP 2025
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
ACL 2025
Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training
ICML 2025
Boosting Adversarial Transferability through Augmentation in Hypothesis Space
CVPR 2025
Boosting Adversarial Transferability via Negative Hessian Trace Regularization
ICCV 2025
Boosting Adversarial Transferability via Residual Perturbation Attack
ICCV 2025
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
AAAI 2025
Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels
ICCV 2025