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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)

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation ACL 2023 Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection AAAI 2023 Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video CVPR 2023 MUX-PLMs: Data Multiplexing for High-throughput Language Models EMNLP 2023 MUX-PLMs: Pre-training Language Models with Data Multiplexing ACL 2023 MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network AAAI 2023 MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion NeurIPS 2023 MVImgNet: A Large-Scale Dataset of Multi-View Images CVPR 2023 MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training CVPR 2023 MVP: Multi-task Supervised Pre-training for Natural Language Generation ACL 2023 MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning ACL 2023 Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation AAAI 2023 Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control ACL 2023 NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis ICLR 2023 NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory CVPR 2023 Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward EMNLP 2023 NarrativeXL: a Large-scale Dataset for Long-Term Memory Models EMNLP 2023 Natural Language-Assisted Sign Language Recognition CVPR 2023 Navigating Data Scarcity: Pretraining for Medical Utterance Classification ACL 2023 nav-nlp at RadSum23: Abstractive Summarization of Radiology Reports using BART Finetuning ACL 2023 N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space Interspeech 2023 NCDL: A Framework for Deep Learning on non-Cartesian Lattices NeurIPS 2023 Neighbor Contrastive Learning on Learnable Graph Augmentation AAAI 2023 NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action CVPR 2023 NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes ICCV 2023