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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Papers (including subtopics)
Sam’s Fans at the Crypto Trading Challenge Task: A Threshold-Based Decision Approach Based on FinMem Framework
COLING 2025
Samsung Research Poland at SemEval-2025 Task 8: LLM ensemble methods for QA over tabular data
SemEval 2025
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection
EMNLP 2025
SANCTUARY: An Efficient Evidence-based Automated Fact Checking System
ACL 2025
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
EMNLP 2025
Sandhi Splitting in Tamil and Telugu: A Sequence-to-Sequence Approach Leveraging Transformer Models
COLING 2025
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
ICLR 2025
Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach
IJCAI 2025
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
AAAI 2025
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
CVPR 2025
SAS: Segment Any 3D Scene with Integrated 2D Priors
ICCV 2025
SATBench: Benchmarking LLMs’ Logical Reasoning via Automated Puzzle Generation from SAT Formulas
EMNLP 2025
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
AAAI 2025
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
EMNLP 2025
Satisficing Regret Minimization in Bandits
ICLR 2025
Scalable Acceleration for Classification-Based Derivative-Free Optimization
AAAI 2025
Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation
EMNLP 2025
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration
EMNLP 2025
Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination
EMNLP 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
AAAI 2025
Scalable Natural Policy Gradient for General-Sum Linear Quadratic Games with Known Parameters
L4DC 2025
Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders
AISTATS 2025
Scalable Spontaneous Speech Dataset (SSSD): Crowdsourcing Data Collection to Promote Dialogue Research
Interspeech 2025
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
AAAI 2025
Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
ICLR 2025