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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)

ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement Interspeech 2024 An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning AAAI 2024 An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios Interspeech 2024 An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions EMNLP 2024 An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations IJCAI 2024 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS Interspeech 2024 An Investigation of Representation and Allocation Harms in Contrastive Learning ICLR 2024 An L* Algorithm for Deterministic Weighted Regular Languages EMNLP 2024 An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification EMNLP 2024 An LLM-Enhanced Adversarial Editing System for Lexical Simplification COLING 2024 An NCDE-based Framework for Universal Representation Learning of Time Series IJCAI 2024 Annealing Self-Distillation Rectification Improves Adversarial Training ICLR 2024 Annotation Scheme for English Argument Structure Constructions Treebank EACL 2024 Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost COLING 2024 Annotator-Centric Active Learning for Subjective NLP Tasks EMNLP 2024 A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024 AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model AAAI 2024 Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection CVPR 2024 Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability CVPR 2024 Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning IJCAI 2024 An Online Bootstrap for Time Series AISTATS 2024 A Non-parametric Graph Clustering Framework for Multi-View Data AAAI 2024 An operator preconditioning perspective on training in physics-informed machine learning ICLR 2024 An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024