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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Slicing Mutual Information Generalization Bounds for Neural Networks ICML 2024 SlimSAM: 0.1% Data Makes Segment Anything Slim NeurIPS 2024 SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection NeurIPS 2024 SLM as Guardian: Pioneering AI Safety with Small Language Model EMNLP 2024 SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM NeurIPS 2024 Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector EMNLP 2024 Small But Funny: A Feedback-Driven Approach to Humor Distillation ACL 2024 Small Language Model Can Self-Correct AAAI 2024 Small LLMs Are Weak Tool Learners: A Multi-LLM Agent EMNLP 2024 Small Models are Valuable Plug-ins for Large Language Models ACL 2024 Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs ACL 2024 Small Scale Data-Free Knowledge Distillation CVPR 2024 SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NeurIPS 2024 SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models CVPR 2024 SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction CVPR 2024 SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction NeurIPS 2024 SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking AAAI 2024 S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search NeurIPS 2024 Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models CVPR 2024 SMR: State Memory Replay for Long Sequence Modeling ACL 2024 SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation UAI 2024 SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation CVPR 2024 SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection CVPR 2024 SOAP: Cross-Sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-Labelling WACV 2024 SocialBench: Sociality Evaluation of Role-Playing Conversational Agents ACL 2024