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
'5
'10
'15
'20
'25
Papers (including subtopics)
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion
ACL 2024
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations
EMNLP 2024
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
NeurIPS 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
AAAI 2024
Stronger and Transferable Node Injection Attacks
AAAI 2024
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products
ACL 2024
Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
NeurIPS 2024
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
CVPR 2024
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
ICLR 2024
STRUCTSUM Generation for Faster Text Comprehension
ACL 2024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
ICLR 2024
Structural Fairness-aware Active Learning for Graph Neural Networks
ICLR 2024
Structural Inference of Dynamical Systems with Conjoined State Space Models
NeurIPS 2024
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction
ACL 2024
Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations
AAAI 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
JMLR 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
CVPR 2024
Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising
EMNLP 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NeurIPS 2024
Structure-Guided Adversarial Training of Diffusion Models
CVPR 2024
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
EMNLP 2024
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure
IJCAI 2024
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
ICLR 2024
STSPL-SSC: Semi-Supervised Few-Shot Short Text Clustering with Semantic text similarity Optimized Pseudo-Labels
ACL 2024
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code
ACL 2024