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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)

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024 Mixture-of-Subspaces in Low-Rank Adaptation EMNLP 2024 Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024 MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning CVPR 2024 MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs NeurIPS 2024 MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance EMNLP 2024 MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters ACML 2024 MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024 MMAR: Multilingual and Multimodal Anaphora Resolution in Instructional Videos EMNLP 2024 MmCows: A Multimodal Dataset for Dairy Cattle Monitoring NeurIPS 2024 MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI CVPR 2024 MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning CVPR 2024 MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts EMNLP 2024 MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance ICML 2024 MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding AAAI 2024 MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI ICML 2024 MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset NeurIPS 2024 MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training CVPR 2024 MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech ACL 2024 MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding EMNLP 2024 Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models NeurIPS 2024 MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion EMNLP 2024 MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization ACL 2024 Modality-Aware Representation Learning for Zero-Shot Sketch-Based Image Retrieval WACV 2024 MODDP: A Multi-modal Open-domain Chinese Dataset for Dialogue Discourse Parsing ACL 2024