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)
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
ACL 2024
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
EMNLP 2024
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
CVPR 2024
PTPARL-V: Portuguese Parliamentary Debates for Voting Behaviour Study
COLING 2024
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs’ Pragmatics Capabilities
ACL 2024
Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference
SemEval 2024
Punny_Punctuators@DravidianLangTech-EACL2024: Transformer-based Approach for Detection and Classification of Fake News in Malayalam Social Media Text
EACL 2024
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness
EMNLP 2024
Pure Exploration in Asynchronous Federated Bandits
UAI 2024
Pure Exploration in Bandits with Linear Constraints
AISTATS 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
ICML 2024
Pursuit of the Cluster Structure of Network Lasso: Recovery Condition and Non-convex Extension
JMLR 2024
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention
AAAI 2024
Pushing the Limits of Zero-shot End-to-End Speech Translation
ACL 2024
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning
NeurIPS 2024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
NeurIPS 2024
QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos
AAAI 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
NeurIPS 2024
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation
EMNLP 2024
QGFN: Controllable Greediness with Action Values
NeurIPS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
NeurIPS 2024
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
AAAI 2024
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
CVPR 2024
QMixCAT: Unsupervised Speech Enhancement Using Quality-guided Signal Mixing and Competitive Alternating Model Training
Interspeech 2024
Q-SENN: Quantized Self-Explaining Neural Networks
AAAI 2024