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)
PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition
AAAI 2024
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
CVPR 2024
Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition
AAAI 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
NeurIPS 2024
Point Cloud Pre-training with Diffusion Models
CVPR 2024
PointCT: Point Central Transformer Network for Weakly-Supervised Point Cloud Semantic Segmentation
WACV 2024
Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials
COLING 2024
Point Segment and Count: A Generalized Framework for Object Counting
CVPR 2024
Point-VOS: Pointing Up Video Object Segmentation
CVPR 2024
POISE: Pose Guided Human Silhouette Extraction Under Occlusions
WACV 2024
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
ACL 2024
Polarity Calibration for Opinion Summarization
NAACL 2024
Policy Aggregation
NeurIPS 2024
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis
AISTATS 2024
Policy Improvement using Language Feedback Models
NeurIPS 2024
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
NeurIPS 2024
Policy Mirror Descent with Lookahead
NeurIPS 2024
Policy Optimization for Robust Average Reward MDPs
NeurIPS 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
NeurIPS 2024
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning
CVPR 2024
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
ICLR 2024
Poly-View Contrastive Learning
ICLR 2024
PolyWER: A Holistic Evaluation Framework for Code-Switched Speech Recognition
EMNLP 2024
Poor-Supervised Evaluation for SuperLLM via Mutual Consistency
ACL 2024
Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks
IJCAI 2024