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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)

Hierarchical Aligned Multimodal Learning for NER on Tweet Posts AAAI 2024 Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation WACV 2024 Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation CVPR 2024 Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation CVPR 2024 Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation CVPR 2024 Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification ACL 2024 HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024 High-dimensional (Group) Adversarial Training in Linear Regression NeurIPS 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 High-fidelity Person-centric Subject-to-Image Synthesis CVPR 2024 High-Fidelity Pseudo-Labels for Boosting Weakly-Supervised Segmentation WACV 2024 High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion ICML 2024 High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction AAAI 2024 HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval AAAI 2024 HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection CVPR 2024 Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation NeurIPS 2024 HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models NeurIPS 2024 Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention EMNLP 2024 Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm ACL 2024 Holistic Features are almost Sufficient for Text-to-Video Retrieval CVPR 2024 Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NeurIPS 2024 Homology Consistency Constrained Efficient Tuning for Vision-Language Models NeurIPS 2024 HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios CVPR 2024 Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective EMNLP 2024