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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)

Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness AAAI 2023 Adaptive Graph Convolutional Subspace Clustering CVPR 2023 Adaptive Human Matting for Dynamic Videos CVPR 2023 Adaptive Hyper-parameter Learning for Deep Semantic Retrieval EMNLP 2023 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 Adaptive Mixing of Auxiliary Losses in Supervised Learning AAAI 2023 Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo CVPR 2023 Adaptive Policy with Wait-k Model for Simultaneous Translation EMNLP 2023 Adaptive Textual Label Noise Learning based on Pre-trained Models EMNLP 2023 Adaptive Texture Filtering for Single-Domain Generalized Segmentation AAAI 2023 Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation CVPR 2023 AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking NeurIPS 2023 A Data-Based Perspective on Transfer Learning CVPR 2023 A Dataset of Argumentative Dialogues on Scientific Papers ACL 2023 AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning AAAI 2023 A Data Source for Reasoning Embodied Agents AAAI 2023 Addressing Negative Transfer in Diffusion Models NeurIPS 2023 Addressing the Length Bias Challenge in Document-Level Neural Machine Translation EMNLP 2023 ADEPT: A DEbiasing PrompT Framework AAAI 2023 A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation AAAI 2023 AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023 AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset NeurIPS 2023 Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation AAAI 2023 Advancing Bangla Punctuation Restoration by a Monolingual Transformer-Based Method and a Large-Scale Corpus EMNLP 2023 Advancing Deep Metric Learning With Adversarial Robustness ACML 2023