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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)

XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024 XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning IJCAI 2024 X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions ACL 2024 XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning AAAI 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation NeurIPS 2024 X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization CVPR 2024 ***YesBut***: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models EMNLP 2024 YNU-HPCC at SIGHAN-2024 dimABSA Task: Using PLMs with a Joint Learning Strategy for Dimensional Intensity Prediction ACL 2024 You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions EMNLP 2024 You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection NeurIPS 2024 You Only Look at Screens: Multimodal Chain-of-Action Agents ACL 2024 Your Career Path Matters in Person-Job Fit AAAI 2024 Your contrastive learning problem is secretly a distribution alignment problem NeurIPS 2024 Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models CVPR 2024 Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning CVPR 2024 Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection ACL 2024 ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering EMNLP 2024 ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images CVPR 2024 ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image CVPR 2024 Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis CVPR 2024 Zero-Shot Aerial Object Detection with Visual Description Regularization AAAI 2024 Zero-shot Commonsense Reasoning over Machine Imagination EMNLP 2024 Zero-shot Cross-lingual Alignment for Embedding Initialization ACL 2024 Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages ACL 2024