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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)

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples CVPR 2024 Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024 SODA: Bottleneck Diffusion Models for Representation Learning CVPR 2024 SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger AAAI 2024 SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training ACL 2024 Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More EACL 2024 SOGDet: Semantic-Occupancy Guided Multi-View 3D Object Detection AAAI 2024 SOHES: Self-supervised Open-world Hierarchical Entity Segmentation ICLR 2024 SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge CVPR 2024 Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract) AAAI 2024 Solving Minimum-Cost Reach Avoid using Reinforcement Learning NeurIPS 2024 SonicSense: Object Perception from In-Hand Acoustic Vibration CoRL 2024 Sound3DVDet: 3D Sound Source Detection Using Multiview Microphone Array and RGB Images WACV 2024 SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos CVPR 2024 Space Decomposition for Sentence Embedding ACL 2024 Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NeurIPS 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model EMNLP 2024 Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation AAAI 2024 SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images AAAI 2024 SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers EMNLP 2024 Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference ICML 2024 Sparse MoE with Language Guided Routing for Multilingual Machine Translation ICLR 2024 Sparsh: Self-supervised touch representations for vision-based tactile sensing CoRL 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery AAAI 2024