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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'10
'15
'20
'25
Papers (including subtopics)
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
NeurIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
NeurIPS 2024
Object Attribute Matters in Visual Question Answering
AAAI 2024
Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering
AAAI 2024
Object Aware Contrastive Prior for Interactive Image Segmentation
WACV 2024
Object-Centric Video Representation for Long-Term Action Anticipation
WACV 2024
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
NeurIPS 2024
Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis
EMNLP 2024
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
CVPR 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
NeurIPS 2024
OCEAN-AI: open multimodal framework for personality traits assessment and HR-processes automatization
Interspeech 2024
OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts
SemEval 2024
Octo: An Open-Source Generalist Robot Policy
RSS 2024
OctoPack: Instruction Tuning Code Large Language Models
ICLR 2024
ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing
CVPR 2024
OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task
EMNLP 2024
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
ICLR 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
NeurIPS 2024
OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-Supervised Video Anomaly Detection
WACV 2024
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs
UAI 2024
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
ICLR 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search
AAAI 2024
Offline Multitask Representation Learning for Reinforcement Learning
NeurIPS 2024
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
NeurIPS 2024
Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data
COLT 2024