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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)

Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning AAAI 2023 Synthetic Experience Replay NeurIPS 2023 Synthetic Pre-Training Tasks for Neural Machine Translation ACL 2023 SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision CVPR 2023 T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction AAAI 2023 T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation AAAI 2023 T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics EMNLP 2023 TableVLM: Multi-modal Pre-training for Table Structure Recognition ACL 2023 TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding EMNLP 2023 Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation ACL 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023 Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection ACL 2023 TaCo: Textual Attribute Recognition via Contrastive Learning AAAI 2023 Tagging-Assisted Generation Model with Encoder and Decoder Supervision for Aspect Sentiment Triplet Extraction EMNLP 2023 Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval AAAI 2023 Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation ACL 2023 Take a Closer Look at Multilinguality! Improve Multilingual Pre-Training Using Monolingual Corpora Only EMNLP 2023 Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction AAAI 2023 TalkUp: Paving the Way for Understanding Empowering Language EMNLP 2023 TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER ACL 2023 Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation CVPR 2023 Tanimoto Random Features for Scalable Molecular Machine Learning NeurIPS 2023 TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023 Target-Free Text-Guided Image Manipulation AAAI 2023 Target-Oriented Relation Alignment for Cross-Lingual Stance Detection ACL 2023