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)
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models
AAAI 2024
Exploring Orthogonality in Open World Object Detection
CVPR 2024
Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context
COLING 2024
Exploring Pose-Aware Human-Object Interaction via Hybrid Learning
CVPR 2024
Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering
EMNLP 2024
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
CVPR 2024
Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection
CVPR 2024
Exploring Scientific Hypothesis Generation with Mamba
EMNLP 2024
Exploring Self-supervised Embeddings and Synthetic Data Augmentation for Robust Audio Deepfake Detection
Interspeech 2024
Exploring Self-supervised Logic-enhanced Training for Large Language Models
NAACL 2024
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations
Interspeech 2024
Exploring Self-Supervised Speech Representations for Cross-lingual Acoustic-to-Articulatory Inversion
Interspeech 2024
Exploring Soft-Label Training for Implicit Discourse Relation Recognition
EACL 2024
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification
EMNLP 2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
AAAI 2024
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
NeurIPS 2024
Exploring Target Representations for Masked Autoencoders
ICLR 2024
Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data
COLING 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
EMNLP 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
NeurIPS 2024
Exploring the impact of noise in low-resource ASR for Tamil
EACL 2024
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions
EMNLP 2024
Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection
CVPR 2024
Exploring the Potential of Large Language Models in Computational Argumentation
ACL 2024
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
NeurIPS 2024