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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)

DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024 DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning AAAI 2024 DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting AAAI 2024 Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024 Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement CVPR 2024 DAP: A Dynamic Adversarial Patch for Evading Person Detectors CVPR 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing NeurIPS 2024 DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving NeurIPS 2024 DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NeurIPS 2024 Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges ACL 2024 Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NeurIPS 2024 Data Contamination Can Cross Language Barriers EMNLP 2024 Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition AAAI 2024 Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity AISTATS 2024 Data-Efficient Graph Learning AAAI 2024 Data-efficient Large Vision Models through Sequential Autoregression ICML 2024 Data-Efficient Multimodal Fusion on a Single GPU CVPR 2024 Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images CVPR 2024 DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models AAAI 2024 Data Free Backdoor Attacks NeurIPS 2024 Data-Free Generalized Zero-Shot Learning AAAI 2024 Data-Free Hard-Label Robustness Stealing Attack AAAI 2024 Data-Free Quantization via Pseudo-label Filtering CVPR 2024 Data Roaming and Quality Assessment for Composed Image Retrieval AAAI 2024 Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition NeurIPS 2024