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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 reinforcement learning for quantum architecture search under hardware errors ICLR 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NeurIPS 2024 Curvature-Invariant Adversarial Attacks for 3D Point Clouds AAAI 2024 Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning NeurIPS 2024 Customizing Language Model Responses with Contrastive In-Context Learning AAAI 2024 Custom wake word detection Interspeech 2024 CUTE: Measuring LLMs’ Understanding of Their Tokens EMNLP 2024 Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models ACL 2024 CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers CVPR 2024 CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs CVPR 2024 CycleCL: Self-Supervised Learning for Periodic Videos WACV 2024 Cycle Consistency Driven Object Discovery ICLR 2024 Cycle-Consistency Learning for Captioning and Grounding AAAI 2024 CycleGN: A Cycle Consistent Approach for Neural Machine Translation EMNLP 2024 CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns NeurIPS 2024 CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On AAAI 2024 Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding ACL 2024 Cyclic Learning for Binaural Audio Generation and Localization CVPR 2024 Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks COLING 2024 D2LLM: Decomposed and Distilled Large Language Models for Semantic Search ACL 2024 D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NeurIPS 2024 D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations AAAI 2024 D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment WACV 2024 D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles WACV 2024 DA3: A Distribution-Aware Adversarial Attack against Language Models EMNLP 2024