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)
Data-Free Hard-Label Robustness Stealing Attack
AAAI 2024
Data-Free Quantization via Pseudo-label Filtering
CVPR 2024
Data-mining and Extraction: the gold rush of AI on Indigenous Languages
EACL 2024
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions
NeurIPS 2024
Data Poisoning based Backdoor Attacks to Contrastive Learning
CVPR 2024
Datasets Creation and Empirical Evaluations of Cross-Lingual Learning on Extremely Low-Resource Languages: A Focus on Comorian Dialects
EACL 2024
Data Summarization via Bilevel Optimization
JMLR 2024
DataTales: A Benchmark for Real-World Intelligent Data Narration
EMNLP 2024
Data Thinning for Convolution-Closed Distributions
JMLR 2024
DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting
CVPR 2024
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning
SemEval 2024
DB3V: A Dialect Dominated Dataset of Bird Vocalisation for Cross-corpus Bird Species Recognition
Interspeech 2024
DB-PMAE: Dual-Branch Prototypical Masked AutoEncoder with locality for domain robust speaker verification
Interspeech 2024
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding
EMNLP 2024
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
AAAI 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
NeurIPS 2024
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery
MIDL 2024
DDAE: Towards Deep Dynamic Vision BERT Pretraining
AAAI 2024
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion
AAAI 2024
DDPrompt: Differential Diversity Prompting in Large Language Models
ACL 2024
Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing
EMNLP 2024
Dealing with Data Scarcity in Spoken Question Answering
COLING 2024
Dealing with Synthetic Data Contamination in Online Continual Learning
NeurIPS 2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models
ACL 2024
DeBERTa at SemEval-2024 Task 9: Using DeBERTa for Defying Common Sense
SemEval 2024