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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)

3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces CVPR 2024 3DInAction: Understanding Human Actions in 3D Point Clouds CVPR 2024 3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation CVPR 2024 3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation AAAI 2024 3D-VLA: A 3D Vision-Language-Action Generative World Model ICML 2024 4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling CVPR 2024 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NeurIPS 2024 AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning AAAI 2024 A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives CVPR 2024 A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NeurIPS 2024 Abrupt Learning in Transformers: A Case Study on Matrix Completion NeurIPS 2024 Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NeurIPS 2024 Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning ACL 2024 A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization NeurIPS 2024 Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 Accelerating Augmentation Invariance Pretraining NeurIPS 2024 Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke MIDL 2024 Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight NeurIPS 2024 ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning EMNLP 2024 Accept the Modality Gap: An Exploration in the Hyperbolic Space CVPR 2024 Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation NeurIPS 2024 Accurate Spatial Gene Expression Prediction by Integrating Multi-Resolution Features CVPR 2024 ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NeurIPS 2024 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024