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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)

Habesha@DravidianLangTech 2024: Detecting Fake News Detection in Dravidian Languages using Deep Learning EACL 2024 HaGRID -- HAnd Gesture Recognition Image Dataset WACV 2024 HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information WACV 2024 HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data CVPR 2024 Hallucination Augmented Contrastive Learning for Multimodal Large Language Model CVPR 2024 Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024 HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning EMNLP 2024 HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection NeurIPS 2024 HAMiSoN-baselines at ClimateActivism 2024: A Study on the Use of External Data for Hate Speech and Stance Detection EACL 2024 HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection EACL 2024 HAMiSoN-MTL at ClimateActivism 2024: Detection of Hate Speech, Targets, and Stance using Multi-task Learning EACL 2024 Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024 Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation NeurIPS 2024 HANS, are you clever? Clever Hans Effect Analysis of Neural Systems NAACL 2024 Happy: A Debiased Learning Framework for Continual Generalized Category Discovery NeurIPS 2024 HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation NeurIPS 2024 Hard-Label Based Small Query Black-Box Adversarial Attack WACV 2024 Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024 Hard Sample-Aware Consistency for Low-Resolution Facial Expression Recognition WACV 2024 Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues EACL 2024 Harnessing Density Ratios for Online Reinforcement Learning ICLR 2024 Harnessing Large Language Models for Training-free Video Anomaly Detection CVPR 2024 Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024 Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning AAAI 2024 Harnessing small projectors and multiple views for efficient vision pretraining NeurIPS 2024