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Learning Types

56,253 papers (3 classified directly here)

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)
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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