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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)

Statistically Principled Deep Learning for SAR Image Segmentation AAAI 2024 Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024 STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction AAAI 2024 Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning WACV 2024 STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024 Step Differences in Instructional Video CVPR 2024 Stepping Forward on the Last Mile NeurIPS 2024 Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models AAAI 2024 Stereo Conversion With Disparity-Aware Warping, Compositing and Inpainting WACV 2024 Stereographic Spherical Sliced Wasserstein Distances ICML 2024 STICKERCONV: Generating Multimodal Empathetic Responses from Scratch ACL 2024 STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics NeurIPS 2024 Stitching Segments and Sentences towards Generalization in Video-Text Pre-training AAAI 2024 Stochastic Binary Network for Universal Domain Adaptation WACV 2024 Stochastic Concept Bottleneck Models NeurIPS 2024 Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NeurIPS 2024 Stochastic positional embeddings improve masked image modeling ICML 2024 STONE: A Submodular Optimization Framework for Active 3D Object Detection NeurIPS 2024 Story Embeddings — Narrative-Focused Representations of Fictional Stories EMNLP 2024 Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling ICLR 2024 StraightPCF: Straight Point Cloud Filtering CVPR 2024 StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation CVPR 2024 Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors ACL 2024 Stress-Testing Capability Elicitation With Password-Locked Models NeurIPS 2024 Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning AAAI 2024