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)
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
ICLR 2025
Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations
CVPR 2025
Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection via Cross-Domain Retrieval Augmentation
ICCV 2025
Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
MLHC 2025
BOSE: A Systematic Evaluation Method Optimized for Base Models
ACL 2025
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
AAAI 2025
Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM
EMNLP 2025
Boundary Probing for Input Privacy Protection When Using LMM Services
ICCV 2025
Bounded Rationality Equilibrium Learning in Mean Field Games
AAAI 2025
BOUQuET : dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation
EMNLP 2025
BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
ACL 2025
BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks
EMNLP 2025
Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection
CVPR 2025
BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications
ICLR 2025
Bratly: A Python Extension for BRAT Functionalities
EMNLP 2025
Breaking Bad Tokens: Detoxification of LLMs Using Sparse Autoencoders
EMNLP 2025
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
AAAI 2025
Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space
ACL 2025
Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
CVPR 2025
Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution
ACL 2025
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
ICLR 2025
Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks
EMNLP 2025
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models
COLING 2025
Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages
ACL 2025