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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'10
'15
'20
'25
Papers (including subtopics)
Curriculum reinforcement learning for quantum architecture search under hardware errors
ICLR 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
NeurIPS 2024
Curvature-Invariant Adversarial Attacks for 3D Point Clouds
AAAI 2024
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
NeurIPS 2024
Customizing Language Model Responses with Contrastive In-Context Learning
AAAI 2024
Custom wake word detection
Interspeech 2024
CUTE: Measuring LLMs’ Understanding of Their Tokens
EMNLP 2024
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
ACL 2024
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
CVPR 2024
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs
CVPR 2024
CycleCL: Self-Supervised Learning for Periodic Videos
WACV 2024
Cycle Consistency Driven Object Discovery
ICLR 2024
Cycle-Consistency Learning for Captioning and Grounding
AAAI 2024
CycleGN: A Cycle Consistent Approach for Neural Machine Translation
EMNLP 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
NeurIPS 2024
CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On
AAAI 2024
Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding
ACL 2024
Cyclic Learning for Binaural Audio Generation and Localization
CVPR 2024
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks
COLING 2024
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
ACL 2024
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
NeurIPS 2024
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
WACV 2024
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
WACV 2024
DA3: A Distribution-Aware Adversarial Attack against Language Models
EMNLP 2024