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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)

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models EMNLP 2024 Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection EMNLP 2024 MultiLS: An End-to-End Lexical Simplification Framework EMNLP 2024 MultiMax: Sparse and Multi-Modal Attention Learning ICML 2024 MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models MIDL 2024 Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference EMNLP 2024 Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering ACL 2024 Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media AAAI 2024 Multi-Modal Disordered Representation Learning Network for Description-Based Person Search AAAI 2024 Multimodal Ensembling for Zero-Shot Image Classification AAAI 2024 Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network AAAI 2024 Multi-Modal Gaze Following in Conversational Scenarios WACV 2024 Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer CVPR 2024 Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping CVPR 2024 Multimodal Instruction Tuning with Conditional Mixture of LoRA ACL 2024 Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation AAAI 2024 Multimodal Language Models Show Evidence of Embodied Simulation COLING 2024 Multimodal Large Language Models Make Text-to-Image Generative Models Align Better NeurIPS 2024 Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models AAAI 2024 Multi-modal Learning for Geospatial Vegetation Forecasting CVPR 2024 Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models ACL 2024 Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection AAAI 2024 Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration CVPR 2024 Multi-Modal Retrieval For Large Language Model Based Speech Recognition ACL 2024