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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)

Disguise without Disruption: Utility-Preserving Face De-identification AAAI 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Distance-aware Calibration for Pre-trained Language Models EMNLP 2024 Distillation Enhanced Generative Retrieval ACL 2024 Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024 Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models CVPR 2024 Distilling Vision-Language Models on Millions of Videos CVPR 2024 DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models ACL 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NeurIPS 2024 DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition AAAI 2024 Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing CVPR 2024 Distributional Properties of Subword Regularization EMNLP 2024 Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification CVPR 2024 Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond AAAI 2024 DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction CVPR 2024 DittoGym: Learning to Control Soft Shape-Shifting Robots ICLR 2024 DIUSum: Dynamic Image Utilization for Multimodal Summarization AAAI 2024 DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection AAAI 2024 DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields CVPR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data CVPR 2024 Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation AAAI 2024 Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking EMNLP 2024