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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)

Curriculum Temperature for Knowledge Distillation AAAI 2023 Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification CVPR 2023 Curvature Filtrations for Graph Generative Model Evaluation NeurIPS 2023 Cut and Learn for Unsupervised Object Detection and Instance Segmentation CVPR 2023 Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation WACV 2023 Cut your Losses with Squentropy ICML 2023 CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment CVPR 2023 CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss NeurIPS 2023 C-XNLI: Croatian Extension of XNLI Dataset ACL 2023 CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning-Based Synthetic Face Detection WACV 2023 Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection ICCV 2023 D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts NeurIPS 2023 D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation WACV 2023 D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers CVPR 2023 D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation ICCV 2023 DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer CVPR 2023 DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets NeurIPS 2023 DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization AAAI 2023 DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition SemEval 2023 DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue ACL 2023 DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning AAAI 2023 DarSwin: Distortion Aware Radial Swin Transformer ICCV 2023 DARTH: Holistic Test-time Adaptation for Multiple Object Tracking ICCV 2023 Data Augmentation for Low-Resource Keyphrase Generation ACL 2023 Data Augmentations for Improved (Large) Language Model Generalization NeurIPS 2023