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)
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models
ACL 2024
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
NeurIPS 2024
Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies
ACL 2024
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
NeurIPS 2024
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
ACL 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
EMNLP 2024
Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning
AAAI 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation
SemEval 2024
NC-TTT: A Noise Constrastive Approach for Test-Time Training
CVPR 2024
Nearest Neighbor Normalization Improves Multimodal Retrieval
EMNLP 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation
JMLR 2024
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
NeurIPS 2024
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses
AISTATS 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms
NeurIPS 2024
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
NeurIPS 2024
Near-Optimality of Contrastive Divergence Algorithms
NeurIPS 2024
Near-Optimal Learning and Planning in Separated Latent MDPs
COLT 2024
Near-optimal Per-Action Regret Bounds for Sleeping Bandits
AISTATS 2024
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games
AISTATS 2024
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits
AISTATS 2024
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
NeurIPS 2024
Nebula: A discourse aware Minecraft Builder
EMNLP 2024
NEFTune: Noisy Embeddings Improve Instruction Finetuning
ICLR 2024
Negative Pre-aware for Noisy Cross-Modal Matching
AAAI 2024