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)
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
NeurIPS 2024
Smoothed Online Classification can be Harder than Batch Classification
NeurIPS 2024
Smoothie: Label Free Language Model Routing
NeurIPS 2024
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning
AISTATS 2024
SMR: State Memory Replay for Long Sequence Modeling
ACL 2024
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection
SemEval 2024
SnAG: Scalable and Accurate Video Grounding
CVPR 2024
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes
SemEval 2024
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model
CVPR 2024
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
ICLR 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
AAAI 2024
”So, are you a different person today?” Analyzing Bias in Questions during Parole Hearings
EMNLP 2024
SOBR: A Corpus for Stylometry, Obfuscation, and Bias on Reddit
COLING 2024
Social-Aware Group Display Configuration in VR Conference
AAAI 2024
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks
EACL 2024
Social Learning through Interactions with Other Agents: A Survey
IJCAI 2024
Social Physics Informed Diffusion Model for Crowd Simulation
AAAI 2024
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
ICLR 2024
Sociocultural knowledge is needed for selection of shots in hate speech detection tasks
EACL 2024
Socio-political Events of Conflict and Unrest: A Survey of Available Datasets
EACL 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
NeurIPS 2024
SODA: Bottleneck Diffusion Models for Representation Learning
CVPR 2024
SoFA: Shielded On-the-fly Alignment via Priority Rule Following
ACL 2024
Soft ascent-descent as a stable and flexible alternative to flooding
NeurIPS 2024
SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger
AAAI 2024