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
'25
Papers (including subtopics)
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
CVPR 2024
Partial Label Learning with a Partner
AAAI 2024
Partial Multi-View Clustering via Self-Supervised Network
AAAI 2024
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning
IJCAI 2024
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits
NeurIPS 2024
Part-of-speech Tagging for Extremely Low-resource Indian Languages
ACL 2024
Part-of-Speech Tagging for Northern Kurdish
COLING 2024
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness
CVPR 2024
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph
COLING 2024
Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
CVPR 2024
Patch-Aware Sample Selection for Efficient Masked Image Modeling
AAAI 2024
Patch-Wise Graph Contrastive Learning for Image Translation
AAAI 2024
Paying Attention to Deflections: Mining Pragmatic Nuances for Whataboutism Detection in Online Discourse
ACL 2024
PCAD: Towards ASR-Robust Spoken Language Understanding via Prototype Calibration and Asymmetric Decoupling
ACL 2024
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
EMNLP 2024
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
NeurIPS 2024
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
NeurIPS 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
CVPR 2024
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
ECCV 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
NeurIPS 2024
PEAR at SemEval-2024 Task 1: Pair Encoding with Augmented Re-sampling for Semantic Textual Relatedness
SemEval 2024
Pearl: A Production-Ready Reinforcement Learning Agent
JMLR 2024
PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents
EMNLP 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
NeurIPS 2024
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment
WACV 2024