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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)

Hyperbolic VAE via Latent Gaussian Distributions NeurIPS 2023 HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering CVPR 2023 Hyper-Decision Transformer for Efficient Online Policy Adaptation ICLR 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 Hyper-Label-Graph: Modeling Branch-Level Dependencies of Labels for Hierarchical Multi-Label Text Classification ACML 2023 HyperMixer: An MLP-based Low Cost Alternative to Transformers ACL 2023 Hypernetworks for Zero-Shot Transfer in Reinforcement Learning AAAI 2023 HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks ACL 2023 Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings EMNLP 2023 Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images NeurIPS 2023 HyperTuning: Toward Adapting Large Language Models without Back-propagation ICML 2023 Hypervolume Maximization: A Geometric View of Pareto Set Learning NeurIPS 2023 HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion CVPR 2023 I2R’s End-to-End Speech Translation System for IWSLT 2023 Offline Shared Task ACL 2023 IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions EMNLP 2023 IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies IJCAI 2023 IC3: Image Captioning by Committee Consensus EMNLP 2023 I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons ACL 2023 iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition CVPR 2023 i-Code: An Integrative and Composable Multimodal Learning Framework AAAI 2023 IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models EMNLP 2023 Identifying Interpretable Subspaces in Image Representations ICML 2023 Identity-Preserving Talking Face Generation With Landmark and Appearance Priors CVPR 2023 IDRNet: Intervention-Driven Relation Network for Semantic Segmentation NeurIPS 2023 IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse IJCAI 2023