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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'15
'20
'25
Papers (including subtopics)
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
ACL 2024
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
NeurIPS 2024
Pandora’s Problem with Deadlines
AAAI 2024
PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images
CVPR 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining
NeurIPS 2024
Pantypes: Diverse Representatives for Self-Explainable Models
AAAI 2024
PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset
ACL 2024
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
AAAI 2024
Parallel Structures in Pre-training Data Yield In-Context Learning
ACL 2024
Parameter Competition Balancing for Model Merging
NeurIPS 2024
Parameter-Efficient Detoxification with Contrastive Decoding
ACL 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
Parameter Efficient Self-Supervised Geospatial Domain Adaptation
CVPR 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
EMNLP 2024
Parametric Augmentation for Time Series Contrastive Learning
ICLR 2024
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
ICLR 2024
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
EMNLP 2024
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
ICLR 2024
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
ACL 2024
ParrotTTS: Text-to-speech synthesis exploiting disentangled self-supervised representations
EACL 2024
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
AAAI 2024
Parseval Regularization for Continual Reinforcement Learning
NeurIPS 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
NeurIPS 2024
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency
AAAI 2024
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
IJCAI 2024