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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)

Aswat: Arabic Audio Dataset for Automatic Speech Recognition Using Speech-Representation Learning EMNLP 2023 AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection CVPR 2023 Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023 A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training ACL 2023 A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence NeurIPS 2023 A Textual Dataset for Situated Proactive Response Selection ACL 2023 ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs EMNLP 2023 A Time Series is Worth 64 Words: Long-term Forecasting with Transformers ICLR 2023 A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech Interspeech 2023 Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations AAAI 2023 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 2023 Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection AAAI 2023 Attention-based Encoder-Decoder Network for End-to-End Neural Speaker Diarization with Target Speaker Attractor Interspeech 2023 Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion Interspeech 2023 Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization AAAI 2023 Attention-Enhancing Backdoor Attacks Against BERT-based Models EMNLP 2023 Attractive Storyteller: Stylized Visual Storytelling with Unpaired Text ACL 2023 Attribute and Structure Preserving Graph Contrastive Learning AAAI 2023 Attributed Graph Subspace Clustering with Graph-Boosting ACML 2023 AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning CVPR 2023 A Two-Stage Decoder for Efficient ICD Coding ACL 2023 AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio AAAI 2023 AudioLDM: Text-to-Audio Generation with Latent Diffusion Models ICML 2023 Audio Retrieval with WavText5K and CLAP Training Interspeech 2023 Audio-Visual Contrastive Learning with Temporal Self-Supervision AAAI 2023