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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)

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning EMNLP 2024 MUSCLE: A Model Update Strategy for Compatible LLM Evolution EMNLP 2024 Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations NeurIPS 2024 MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement Interspeech 2024 MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector ACL 2024 Mutual-Modality Adversarial Attack with Semantic Perturbation AAAI 2024 MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval CVPR 2024 MVBench: A Comprehensive Multi-modal Video Understanding Benchmark CVPR 2024 MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? EMNLP 2024 MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving AAAI 2024 NAPGuard: Towards Detecting Naturalistic Adversarial Patches CVPR 2024 NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing NeurIPS 2024 Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives EMNLP 2024 NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024 Nature-Inspired Local Propagation NeurIPS 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation EMNLP 2024 Navigating the OverKill in Large Language Models ACL 2024 Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models EMNLP 2024 NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024 NC-TTT: A Noise Constrastive Approach for Test-Time Training CVPR 2024 ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model AAAI 2024 Nearest Neighbor Normalization Improves Multimodal Retrieval EMNLP 2024 NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs AAAI 2024 Nebula: A discourse aware Minecraft Builder EMNLP 2024