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)
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval
COLING 2024
Knowledge Graph Enhanced Large Language Model Editing
EMNLP 2024
Knowledge Graph Error Detection with Contrastive Confidence Adaption
AAAI 2024
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
ACML 2024
Knowledge-Guided Cross-Topic Visual Question Generation
COLING 2024
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
AAAI 2024
Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
ACL 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
ACL 2024
Knowledge-Preserving Pluggable Modules for Multilingual Speech Translation Tasks
Interspeech 2024
Knowledge Verification to Nip Hallucination in the Bud
EMNLP 2024
Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning
ACL 2024
KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding
COLING 2024
KoCoSa: Korean Context-aware Sarcasm Detection Dataset
COLING 2024
KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark
COLING 2024
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition
COLING 2024
KPatch: Knowledge Patch to Pre-trained Language Model for Zero-Shot Stance Detection on Social Media
COLING 2024
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation
ACL 2024
KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization
IJCAI 2024
kubapok@LT-EDI 2024: Evaluating Transformer Models for Hate Speech Detection in Tamil
EACL 2024
Kuro Siwo: 33 billion m^2 under the water. A global multi-temporal satellite dataset for rapid flood mapping
NeurIPS 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
L3Masking: Multi-task Fine-tuning for Language Models by Leveraging Lessons Learned from Vanilla Models
EMNLP 2024
L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream
CVPR 2024
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
ICLR 2024
Label Attentive Distillation for GNN-Based Graph Classification
AAAI 2024