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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)

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities AAAI 2024 Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification EMNLP 2024 MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models NeurIPS 2024 Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract) AAAI 2024 Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NeurIPS 2024 MetaKP: On-Demand Keyphrase Generation EMNLP 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024 Meta-Point Learning and Refining for Category-Agnostic Pose Estimation CVPR 2024 MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling ACL 2024 Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models ACL 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models NeurIPS 2024 Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024 Metric Learning from Limited Pairwise Preference Comparisons UAI 2024 MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task EMNLP 2024 MEVTR: A Multilingual Model Enhanced with Visual Text Representations COLING 2024 MFP: Making Full Use of Probability Maps for Interactive Image Segmentation CVPR 2024 MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation EMNLP 2024 MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction CVPR 2024 mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval EMNLP 2024 MIBench: Evaluating Multimodal Large Language Models over Multiple Images EMNLP 2024 MICap: A Unified Model for Identity-Aware Movie Descriptions CVPR 2024 MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment AAAI 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024