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)
Contrastive General Graph Matching with Adaptive Augmentation Sampling
IJCAI 2024
Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation
CoRL 2024
Contrastive Instruction Tuning
ACL 2024
Contrastive Learning and Inter-Speaker Distribution Alignment Based Unsupervised Domain Adaptation for Robust Speaker Verification
Interspeech 2024
Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data
Interspeech 2024
Contrastive Learning as a Polarizer: Mitigating Gender Bias by Fair and Biased sentences
NAACL 2024
Contrastive Learning Drug Response Models from Natural Language Supervision
IJCAI 2024
Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking
CVPR 2024
Contrastive Learning for Low-Light Raw Denoising (Student Abstract)
AAAI 2024
Contrastive Learning for Multi-Object Tracking With Transformers
WACV 2024
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
IJCAI 2024
Contrastive Learning is Spectral Clustering on Similarity Graph
ICLR 2024
Contrastive Learning to Improve Retrieval for Real-World Fact Checking
EMNLP 2024
Contrastive losses as generalized models of global epistasis
NeurIPS 2024
Contrastive Mean-Shift Learning for Generalized Category Discovery
CVPR 2024
ContrastiveMix: Overcoming Code-Mixing Dilemma in Cross-Lingual Transfer for Information Retrieval
NAACL 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
EMNLP 2024
Contrastive Preference Learning for Neural Machine Translation
NAACL 2024
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
ICLR 2024
Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment
CVPR 2024
Contrastive Representation Learning for Self-Supervised Taxonomy Completion
IJCAI 2024
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation
EMNLP 2024
Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval
IJCAI 2024
Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval
IJCAI 2024
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
AAAI 2024