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)
Can we teach language models to gloss endangered languages?
EMNLP 2024
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated
AAAI 2024
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?
Interspeech 2024
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
ACL 2024
CAP: A Context-Aware Neural Predictor for NAS
IJCAI 2024
Capturing the denoising effect of PCA via compression ratio
NeurIPS 2024
Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings
EACL 2024
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents
OSDI 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
AAAI 2024
Cardinality-Aware Set Prediction and Top-k Classification
NeurIPS 2024
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
NeurIPS 2024
CARE: A Clue-guided Assistant for CSRs to Read User Manuals
ACL 2024
CareCorpus: A Corpus of Real-World Solution-Focused Caregiver Strategies for Personalized Pediatric Rehabilitation Service Design
COLING 2024
CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation
EMNLP 2024
CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction
WACV 2024
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction
EMNLP 2024
CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation
SemEval 2024
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning
AAAI 2024
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
NAACL 2024
Carrot and Stick: Eliciting Comparison Data and Beyond
NeurIPS 2024
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
CVPR 2024
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
CVPR 2024
Cascade of phase transitions in the training of energy-based models
NeurIPS 2024
Cascading Reinforcement Learning
ICLR 2024