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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)

SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning AAAI 2024 SDMTR: A Brain-inspired Transformer for Relation Inference AISTATS 2024 SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization AAAI 2024 SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation CVPR 2024 SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking CVPR 2024 Se2: Sequential Example Selection for In-Context Learning ACL 2024 SeaLLMs - Large Language Models for Southeast Asia ACL 2024 Search-Adaptor: Embedding Customization for Information Retrieval ACL 2024 Search if you don’t know! Knowledge-Augmented Korean Grammatical Error Correction with Large Language Models EMNLP 2024 Searching for Best Practices in Retrieval-Augmented Generation EMNLP 2024 SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge NeurIPS 2024 SEAS: ShapE-Aligned Supervision for Person Re-Identification CVPR 2024 SecCoder: Towards Generalizable and Robust Secure Code Generation EMNLP 2024 SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation ACL 2024 SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation CVPR 2024 See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning EMNLP 2024 SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science EMNLP 2024 Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners CVPR 2024 Seeing Dark Videos via Self-Learned Bottleneck Neural Representation AAAI 2024 Seeing Motion at Nighttime with an Event Camera CVPR 2024 Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024 Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment NeurIPS 2024 Seeing the Unseen: Visual Common Sense for Semantic Placement CVPR 2024 SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly AAAI 2024 SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation EMNLP 2024