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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'20
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Papers (including subtopics)
SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024
EMNLP 2024
SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling
CVPR 2024
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
ICML 2024
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
ECCV 2024
SSN-Nova@LT-EDI 2024: Leveraging Vectorisation Techniques in an Ensemble Approach for Stress Identification in Low-Resource Languages
EACL 2024
SSN-Nova@LT-EDI 2024: POS Tagging, Boosting Techniques and Voting Classifiers for Caste And Migration Hate Speech Detection
EACL 2024
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models
EMNLP 2024
SSVOD: Semi-Supervised Video Object Detection With Sparse Annotations
WACV 2024
Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions
AAAI 2024
Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation
NeurIPS 2024
Stability in Online Coalition Formation
AAAI 2024
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
AAAI 2024
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
NeurIPS 2024
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
ICLR 2024
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
NeurIPS 2024
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks
NeurIPS 2024
Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
CVPR 2024
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation
EMNLP 2024
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
AAAI 2024
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
CVPR 2024
Stage-Aware Learning for Dynamic Treatments
JMLR 2024
Stage Direction Classification in French Theater: Transfer Learning Experiments
EACL 2024
STAGE: Simple Text Data Augmentation by Graph Exploration
COLING 2024
Stanceosaurus 2.0 - Classifying Stance Towards Russian and Spanish Misinformation
EACL 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
ACL 2024