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)
SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning
CVPR 2025
SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation
ACL 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
AAAI 2025
Sequence-level Large Language Model Training with Contrastive Preference Optimization
NAACL 2025
Sequential Order Adjustment of Action Decisions for Multi-Agent Transformer (Student Abstract)
AAAI 2025
Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling
AAAI 2025
SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins
ICLR 2025
Serial Lifelong Editing via Mixture of Knowledge Experts
ACL 2025
Serving the Underserved: Leveraging BARTBahnar Language Model for Bahnaric-Vietnamese Translation
NAACL 2025
Severing Spurious Correlations with Data Pruning
ICLR 2025
SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
CVPR 2025
SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images
CVPR 2025
SFESS: Score Function Estimators for k-Subset Sampling
ICLR 2025
SGCD: Subtask-Guided Causal-Debiasing Framework for Robust Cross-Utterance Sentiment Quadruple Extraction in Dialogues
EMNLP 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine
NAACL 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG
ACL 2025
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
AAAI 2025
Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion
CVPR 2025
Shadow-Activated Backdoor Attacks on Multimodal Large Language Models
ACL 2025
Shadow Removal Refinement via Material-Consistent Shadow Edges
WACV 2025
Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data?
ACL 2025
Shape and Texture: What Influences Reliable Optical Flow Estimation?
CVPR 2025
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
ACL 2025
Shapley Consensus Deep Learning for Ensemble Pruning
WACV 2025
Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities
EMNLP 2025