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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)

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering AAAI 2023 Joint Semantic and Strategy Matching for Persuasive Dialogue EMNLP 2023 Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data ACL 2023 Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time CVPR 2023 JourneyDB: A Benchmark for Generative Image Understanding NeurIPS 2023 Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition EMNLP 2023 JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment AAAI 2023 KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training NeurIPS 2023 KD-DLGAN: Data Limited Image Generation via Knowledge Distillation CVPR 2023 KeFVP: Knowledge-enhanced Financial Volatility Prediction EMNLP 2023 KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness EMNLP 2023 Kernel Aware Resampler CVPR 2023 Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection AAAI 2023 KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction AAAI 2023 KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion EMNLP 2023 KILM: Knowledge Injection into Encoder-Decoder Language Models ACL 2023 KIT’s Multilingual Speech Translation System for IWSLT 2023 ACL 2023 KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP ICLR 2023 KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization ACL 2023 Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering ACL 2023 Knowledge Acquisition for Human-In-The-Loop Image Captioning AISTATS 2023 Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer AAAI 2023 Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering AAAI 2023 Knowledge Distillation Approach for Efficient Internal Language Model Estimation Interspeech 2023 Knowledge Distillation based Degradation Estimation for Blind Super-Resolution ICLR 2023