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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)

A Coarse-To-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection WACV 2024 A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech ACL 2024 A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts EACL 2024 A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection Interspeech 2024 A Comprehensive Augmentation Framework for Anomaly Detection AAAI 2024 A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification MIDL 2024 A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery EMNLP 2024 A Computational Analysis and Exploration of Linguistic Borrowings in French Rap Lyrics ACL 2024 A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling CVPR 2024 A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization IJCAI 2024 A Contrastive Learning Approach to Mitigate Bias in Speech Models Interspeech 2024 A Corpus of Spontaneous L2 English Speech for Real-situation Speaking Assessment COLING 2024 Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space ACL 2024 A Critical Evaluation of AI Feedback for Aligning Large Language Models NeurIPS 2024 A Cross-Attention Layer coupled with Multimodal Fusion Methods for Recognizing Depression from Spontaneous Speech Interspeech 2024 A Cross-Domain Benchmark for Active Learning NeurIPS 2024 A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction AAAI 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024 ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NeurIPS 2024 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 ActionIE: Action Extraction from Scientific Literature with Programming Languages ACL 2024 Action Imitation in Common Action Space for Customized Action Image Synthesis NeurIPS 2024 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Active Batch Sampling for Multi-Label Classification With Binary User Feedback WACV 2024