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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)

From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm CVPR 2023 Frugal Prompting for Dialog Models EMNLP 2023 FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection CVPR 2023 FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction ACL 2023 FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning AAAI 2023 Fully Self-Supervised Depth Estimation From Defocus Clue CVPR 2023 FunASR: A Fundamental End-to-End Speech Recognition Toolkit Interspeech 2023 FusedF0: Improving DNN-based F0 Estimation by Fusion of Summary-Correlograms and Raw Waveform Representations of Speech Signals Interspeech 2023 FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue ACL 2023 Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation ICLR 2023 Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation CVPR 2023 G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns IJCAI 2023 GAM: Gradient Attention Module of Optimization for Point Clouds Analysis AAAI 2023 GAN-Based Domain Inference Attack AAAI 2023 GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator ACL 2023 GANmouflage: 3D Object Nondetection With Texture Fields CVPR 2023 GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts CVPR 2023 Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues CVPR 2023 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks ICML 2023 GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation EMNLP 2023 Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention CVPR 2023 GBT: Generative Boosting Training Approach for Paraphrase Identification EMNLP 2023 GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning EMNLP 2023 GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023 GDA: Grammar-based Data Augmentation for Text Classification using Slot Information EMNLP 2023