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)
ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection From RGB-Thermal Drone Imagery
WACV 2024
Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
CVPR 2024
Shallow Diffusion for Fast Speech Enhancement (Student Abstract)
AAAI 2024
Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
EMNLP 2024
Shape analysis for time series
NeurIPS 2024
ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation
CVPR 2024
ShapeWalk: Compositional Shape Editing Through Language-Guided Chains
CVPR 2024
SharedCon: Implicit Hate Speech Detection using Shared Semantics
ACL 2024
Sharpness-Aware Data Poisoning Attack
ICLR 2024
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization
NeurIPS 2024
Sharpness-Aware Minimization and the Edge of Stability
JMLR 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
AAAI 2024
SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning
NAACL 2024
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes
SemEval 2024
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
CoRL 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
ACL 2024
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
CVPR 2024
Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction
EMNLP 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NeurIPS 2024
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning
EMNLP 2024
Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing
EMNLP 2024
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
ACL 2024
Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
CVPR 2024
SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects
EACL 2024
s-ID: Causal Effect Identification in a Sub-population
AAAI 2024