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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)

FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models CVPR 2024 FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models NeurIPS 2024 Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains ACL 2024 Fine-tuning after Prompting: an Explainable Way for Classification ACL 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fine-Tuning ASR models for Very Low-Resource Languages: A Study on Mvskoke ACL 2024 Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility Interspeech 2024 Fine-tuning CLIP Text Encoders with Two-step Paraphrasing EACL 2024 Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns AAAI 2024 Fine-tuning Language Models for AI vs Human Generated Text detection SemEval 2024 Fine-Tuning Language Models on Dutch Protest Event Tweets EACL 2024 Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification EMNLP 2024 Fine-Tuning Language Models with Reward Learning on Policy NAACL 2024 Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 2024 Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow EMNLP 2024 Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? EMNLP 2024 Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions ICLR 2024 Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs EMNLP 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination NeurIPS 2024 Fine-Tuning Pre-Trained Language Models with Gaze Supervision ACL 2024 Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages NAACL 2024 Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem ICML 2024 Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models ACL 2024 Fingervein Verification Using Convolutional Multi-Head Attention Network WACV 2024 Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024