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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)

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix AAAI 2024 Semi-supervised Active Learning for Video Action Detection AAAI 2024 Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024 Semisupervised Neural Proto-Language Reconstruction ACL 2024 Semi-Supervised Reward Modeling via Iterative Self-Training EMNLP 2024 Semi-Supervised Semantic Depth Estimation Using Symbiotic Transformer and NearFarMix Augmentation WACV 2024 SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder CVPR 2024 Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language CVPR 2024 SeqRank: Sequential Ranking of Salient Objects AAAI 2024 SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning WACV 2024 Sequential Disentanglement by Extracting Static Information From A Single Sequence Element ICML 2024 Set-based Neural Network Encoding Without Weight Tying NeurIPS 2024 SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings ICLR 2024 Set Learning for Accurate and Calibrated Models ICLR 2024 SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation AAAI 2024 SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations CVPR 2024 SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction WACV 2024 SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully EMNLP 2024 Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models NeurIPS 2024 ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation AAAI 2024 SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds CVPR 2024 ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation CVPR 2024 ShapeWalk: Compositional Shape Editing Through Language-Guided Chains CVPR 2024 Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition IJCAI 2024 ShareBERT: Embeddings Are Capable of Learning Hidden Layers AAAI 2024