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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)

MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation ACL 2023 MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields EMNLP 2023 Mulan: A Multi-Level Alignment Model for Video Question Answering EMNLP 2023 MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis AAAI 2023 MULLER: Multilayer Laplacian Resizer for Vision ICCV 2023 MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels AAAI 2023 MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks ICML 2023 Multi-Agent Language Learning: Symbolic Mapping ACL 2023 Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023 Multi-behavior Session-based Recommendation via Graph Reinforcement Learning ACML 2023 Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference CVPR 2023 Multi-channel separation of dynamic speech and sound events Interspeech 2023 Multi-Classifier Adversarial Optimization for Active Learning AAAI 2023 Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling ACL 2023 Multi-Directional Subspace Editing in Style-Space ICCV 2023 Multi-Domain Generalized Graph Meta Learning AAAI 2023 MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations ACL 2023 Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation ICCV 2023 MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning ACL 2023 Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System ACL 2023 Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt AAAI 2023 Multilateral Semantic Relations Modeling for Image Text Retrieval CVPR 2023 Multi-Level Confidence Learning for Trustworthy Multimodal Classification AAAI 2023 Multilingual Conceptual Coverage in Text-to-Image Models ACL 2023 Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints ACL 2023