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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)

See Say and Segment: Teaching LMMs to Overcome False Premises CVPR 2024 Seg2Act: Global Context-aware Action Generation for Document Logical Structuring EMNLP 2024 Segment and Caption Anything CVPR 2024 Segment Any Change NeurIPS 2024 Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation EMNLP 2024 Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation AAAI 2024 Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations NeurIPS 2024 SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction ICLR 2024 SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain AAAI 2024 Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint) AAAI 2024 Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability EMNLP 2024 Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition AAAI 2024 Selective Attention: Enhancing Transformer through Principled Context Control NeurIPS 2024 Selective Generation for Controllable Language Models NeurIPS 2024 Selectively Answering Visual Questions ACL 2024 Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization CVPR 2024 Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching CVPR 2024 Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding EMNLP 2024 Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation ACL 2024 Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations EMNLP 2024 Self-Augmented In-Context Learning for Unsupervised Word Translation ACL 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NeurIPS 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 SelfCodeAlign: Self-Alignment for Code Generation NeurIPS 2024 Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy ACL 2024