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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)

Small batch deep reinforcement learning NeurIPS 2023 SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation CVPR 2023 Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023 SmartSpanNER: Making SpanNER Robust in Low Resource Scenarios EMNLP 2023 Smart Word Suggestions for Writing Assistance ACL 2023 SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation CVPR 2023 Smoothness Similarity Regularization for Few-Shot GAN Adaptation ICCV 2023 Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model ACL 2023 SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation NeurIPS 2023 Soft Augmentation for Image Classification CVPR 2023 Solving a Class of Non-Convex Minimax Optimization in Federated Learning NeurIPS 2023 Solving Math Word Problems via Cooperative Reasoning induced Language Models ACL 2023 So many design choices: Improving and interpreting neural agent communication in signaling games ACL 2023 Some Voices are Too Common: Building Fair Speech Recognition Systems Using the CommonVoice Dataset Interspeech 2023 Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio NeurIPS 2023 Sound of Story: Multi-modal Storytelling with Audio EMNLP 2023 Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment CVPR 2023 Source-Free Adaptive Gaze Estimation by Uncertainty Reduction CVPR 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation NeurIPS 2023 Span-Selective Linear Attention Transformers for Effective and Robust Schema-Guided Dialogue State Tracking ACL 2023 SPARF: Neural Radiance Fields From Sparse and Noisy Poses CVPR 2023 Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation EMNLP 2023 Sparse Coding in a Dual Memory System for Lifelong Learning AAAI 2023 Sparse Distributed Memory is a Continual Learner ICLR 2023 Sparse Frame Grouping Network with Action Centered for Untrimmed Video Paragraph Captioning EMNLP 2023