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)
Training-free Deep Concept Injection Enables Language Models for Video Question Answering
EMNLP 2024
Training-Free Object Counting With Prompts
WACV 2024
Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
CVPR 2024
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
CVPR 2024
Training Vision Transformers for Semi-Supervised Semantic Segmentation
CVPR 2024
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
EMNLP 2024
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks
NeurIPS 2024
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability
NeurIPS 2024
TRAM: Benchmarking Temporal Reasoning for Large Language Models
ACL 2024
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
NeurIPS 2024
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
Interspeech 2024
Transcriptomics-guided Slide Representation Learning in Computational Pathology
CVPR 2024
Transductive Active Learning: Theory and Applications
NeurIPS 2024
Transductive Zero-Shot and Few-Shot CLIP
CVPR 2024
TransFed: A Way To Epitomize Focal Modulation Using Transformer-Based Federated Learning
WACV 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
NeurIPS 2024
Transferability of Syntax-Aware Graph Neural Networks in Zero-Shot Cross-Lingual Semantic Role Labeling
EMNLP 2024
Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion
AAAI 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NeurIPS 2024
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking
ACL 2024
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
CVPR 2024
Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks
CoRL 2024
Transfer and Alignment Network for Generalized Category Discovery
AAAI 2024
Transfer CLIP for Generalizable Image Denoising
CVPR 2024
Transfer Learning for Latent Variable Network Models
NeurIPS 2024