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)
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)
AAAI 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation
AAAI 2024
Attack Named Entity Recognition by Entity Boundary Interference
COLING 2024
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions
EMNLP 2024
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models
CVPR 2024
Attention-Based Models for Snow-Water Equivalent Prediction
AAAI 2024
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
ICLR 2024
Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning
WACV 2024
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
AAAI 2024
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study
WACV 2024
Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing Detection
Interspeech 2024
Attentive Prototypes for Source-Free Unsupervised Domain Adaptive 3D Object Detection
WACV 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
NeurIPS 2024
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
EMNLP 2024
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability
CVPR 2024
Attribute-Missing Graph Clustering Network
AAAI 2024
Attribute or Abstain: Large Language Models as Long Document Assistants
EMNLP 2024
At Which Training Stage Does Code Data Help LLMs Reasoning?
ICLR 2024
A Two-Agent Game for Zero-shot Relation Triplet Extraction
ACL 2024
A Two-Stage Adaptation of Large Language Models for Text Ranking
ACL 2024
A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification
COLING 2024
A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification
AAAI 2024
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
COLING 2024
AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
ICLR 2024
AUC Maximization under Positive Distribution Shift
NeurIPS 2024