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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)

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation AAAI 2024 Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation CVPR 2024 SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization ACL 2024 Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning ACL 2024 Supervised Anomaly Detection for Complex Industrial Images CVPR 2024 Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond AAAI 2024 Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques NeurIPS 2024 Suppressing Uncertainty in Gaze Estimation AAAI 2024 SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information EMNLP 2024 SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation AAAI 2024 Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese EMNLP 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NeurIPS 2024 SWAG: Storytelling With Action Guidance EMNLP 2024 Swift Sampler: Efficient Learning of Sampler by 10 Parameters NeurIPS 2024 SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting CVPR 2024 Symmetry-Informed Governing Equation Discovery NeurIPS 2024 Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale NeurIPS 2024 Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024 SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining CVPR 2024 Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models ACL 2024 Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement AAAI 2024 Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024 SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization EMNLP 2024 Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NeurIPS 2024