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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)

DistilPose: Tokenized Pose Regression With Heatmap Distillation CVPR 2023 DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model Interspeech 2023 Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering ACL 2023 Distractor Generation based on Text2Text Language Models with Pseudo Kullback-Leibler Divergence Regulation ACL 2023 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023 DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning EMNLP 2023 Diverse Demonstrations Improve In-context Compositional Generalization ACL 2023 Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion AAAI 2023 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NeurIPS 2023 Diversifying language models for lesser-studied languages and language-usage contexts: A case of second language Korean EMNLP 2023 Diversify Question Generation with Retrieval-Augmented Style Transfer EMNLP 2023 Diversity-Aware Coherence Loss for Improving Neural Topic Models ACL 2023 Diversity-Aware Meta Visual Prompting CVPR 2023 Diversity-Measurable Anomaly Detection CVPR 2023 Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning CVPR 2023 Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking ACL 2023 DKM: Dense Kernelized Feature Matching for Geometry Estimation CVPR 2023 DLBD: A Self-Supervised Direct-Learned Binary Descriptor CVPR 2023 DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching AAAI 2023 DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023 DMLM: Descriptive Masked Language Modeling ACL 2023 DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning SemEval 2023 DNN-based Parameter Estimation for MVDR Beamforming and Post-filtering Interspeech 2023 DOC: Improving Long Story Coherence With Detailed Outline Control ACL 2023 Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL 2023