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
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Papers (including subtopics)
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
ACL 2024
Large Language Models for Dysfluency Detection in Stuttered Speech
Interspeech 2024
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA
EMNLP 2024
Large Language Models Must Be Taught to Know What They Don’t Know
NeurIPS 2024
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling
COLING 2024
LARGEMED: A Resource for Identifying and Generating Paraphrases for French Medical Terms
COLING 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks
NeurIPS 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
AAAI 2024
Large-scale Training of Foundation Models for Wearable Biosignals
ICLR 2024
Large Scale Transfer Learning for Tabular Data via Language Modeling
NeurIPS 2024
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
NeurIPS 2024
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
EMNLP 2024
LaSCal: Label-Shift Calibration without target labels
NeurIPS 2024
LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction
NeurIPS 2024
LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks
Interspeech 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
CVPR 2024
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
UAI 2024
Latent 3D Graph Diffusion
ICLR 2024
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
WACV 2024
Latent Functional Maps: a spectral framework for representation alignment
NeurIPS 2024
Latent Gaussian Graphical Models with Golazo Penalty
PGM 2024
Latent Intrinsics Emerge from Training to Relight
NeurIPS 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning
NeurIPS 2024
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
ICLR 2024
Latent Space Editing in Transformer-Based Flow Matching
AAAI 2024