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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)

Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation AAAI 2024 Mind Artist: Creating Artistic Snapshots with Human Thought CVPR 2024 Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation CVPR 2024 MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages NeurIPS 2024 MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding EMNLP 2024 MIND: Multi-Task Incremental Network Distillation AAAI 2024 Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation CVPR 2024 MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery AAAI 2024 MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents EMNLP 2024 MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction EMNLP 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration NeurIPS 2024 Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training AAAI 2024 Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis AAAI 2024 MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NeurIPS 2024 MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning COLING 2024 Mip-Splatting: Alias-free 3D Gaussian Splatting CVPR 2024 MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection CVPR 2024 Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities CVPR 2024 Mirror-Consistency: Harnessing Inconsistency in Majority Voting EMNLP 2024 Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models ECCV 2024 MISTI: Metadata-Informed Scientific Text and Image Representation through Contrastive Learning ACL 2024 Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment EMNLP 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024 Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models ACL 2024