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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)

Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection WACV 2024 Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence IJCAI 2024 All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation NeurIPS 2024 All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024 AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning IJCAI 2024 A LLM-based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation EMNLP 2024 All-Mpnet at SemEval-2024 Task 1: Application of Mpnet for Evaluating Semantic Textual Relatedness SemEval 2024 AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation CVPR 2024 ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation ACL 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 AlpaGasus: Training a Better Alpaca with Fewer Data ICLR 2024 AlphaMath Almost Zero: Process Supervision without Process NeurIPS 2024 ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NeurIPS 2024 AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization AAAI 2024 ALVIN: Active Learning Via INterpolation EMNLP 2024 Amalgamating Multi-Task Models with Heterogeneous Architectures AAAI 2024 AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction NAACL 2024 A Mapping on Current Classifying Categories of Emotions Used in Multimodal Models for Emotion Recognition EACL 2024 A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality COLING 2024 AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset EMNLP 2024 AMD: Autoregressive Motion Diffusion AAAI 2024 AMEND: Adaptive Margin and Expanded Neighborhood for Efficient Generalized Category Discovery WACV 2024 A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 AMLB: an AutoML Benchmark JMLR 2024 Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NeurIPS 2024