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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)

Neural Transformation Fields for Arbitrary-Styled Font Generation CVPR 2023 Neural TSP Solver with Progressive Distillation AAAI 2023 NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies CVPR 2023 Neural Unsupervised Reconstruction of Protolanguage Word Forms ACL 2023 Neural Vector Fields: Implicit Representation by Explicit Learning CVPR 2023 Neural Video Compression With Diverse Contexts CVPR 2023 Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks ICML 2023 Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation CVPR 2023 Neuron Structure Modeling for Generalizable Remote Physiological Measurement CVPR 2023 Nexus at ArAIEval Shared Task: Fine-Tuning Arabic Language Models for Propaganda and Disinformation Detection EMNLP 2023 N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution CVPR 2023 Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases ACL 2023 NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023 NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging CVPR 2023 Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior CVPR 2023 NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling CVPR 2023 NLIP: Noise-Robust Language-Image Pre-training AAAI 2023 NLMs: Augmenting Negation in Language Models EMNLP 2023 NLP-LISAC at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis via a Transformer-based Approach and Data Augmentation SemEval 2023 Noam Chomsky at SemEval-2023 Task 4: Hierarchical Similarity-aware Model for Human Value Detection SemEval 2023 No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning NeurIPS 2023 No clues, good clues: Out of context Lexical Relation Classification ACL 2023 Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks ICML 2023 Noise Injection Node Regularization for Robust Learning ICLR 2023 Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction EMNLP 2023