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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)

Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation UAI 2024 MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers CVPR 2024 MasonTigers@LT-EDI-2024: An Ensemble Approach Towards Detecting Homophobia and Transphobia in Social Media Comments EACL 2024 Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models AAAI 2024 Mastering Memory Tasks with World Models ICLR 2024 Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs ICML 2024 MatchDet: A Collaborative Framework for Image Matching and Object Detection AAAI 2024 Matching Anything by Segmenting Anything CVPR 2024 Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction ACL 2024 Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models EMNLP 2024 Matrix Information Theory for Self-Supervised Learning ICML 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 MAVEN-FACT: A Large-scale Event Factuality Detection Dataset EMNLP 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 Maximum entropy GFlowNets with soft Q-learning AISTATS 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024 Mayfly: a Neural Data Structure for Graph Stream Summarization ICLR 2024 M-BEV: Masked BEV Perception for Robust Autonomous Driving AAAI 2024 MBIAS: Mitigating Bias in Large Language Models While Retaining Context ACL 2024 McCrolin: Multi-consistency Cross-lingual Training for Retrieval Question Answering EMNLP 2024 MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction COLING 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning AAAI 2024 MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation CVPR 2024 mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models ACL 2024 MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes CVPR 2024