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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'20
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Papers (including subtopics)
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech
EMNLP 2024
Continual Test-Time Domain Adaptation via Dynamic Sample Selection
WACV 2024
Continual Vision-Language Retrieval via Dynamic Knowledge Rectification
AAAI 2024
Continued Pre-training on Sentence Analogies for Translation with Small Data
COLING 2024
Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture
WACV 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
NeurIPS 2024
Continuous Invariance Learning
ICLR 2024
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
NeurIPS 2024
Continuous Partitioning for Graph-Based Semi-Supervised Learning
NeurIPS 2024
Continuous Prediction with Experts' Advice
JMLR 2024
Contracting with a Learning Agent
NeurIPS 2024
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing
AAAI 2024
ContraSim – Analyzing Neural Representations Based on Contrastive Learning
NAACL 2024
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
NeurIPS 2024
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
CVPR 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
NeurIPS 2024
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
NAACL 2024
Contrastive and View-Interaction Structure Learning for Multi-view Clustering
IJCAI 2024
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
AAAI 2024
Contrastive Credibility Propagation for Reliable Semi-supervised Learning
AAAI 2024
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
CVPR 2024
Contrastive Difference Predictive Coding
ICLR 2024
Contrastive dimension reduction: when and how?
NeurIPS 2024
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
NeurIPS 2024
Contrastive Feedback Mechanism for Simultaneous Speech Translation
Interspeech 2024