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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)

Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics AAAI 2024 Spatial-Temporal Augmentation for Crime Prediction (Student Abstract) AAAI 2024 Spatio-Spectral Graph Neural Networks NeurIPS 2024 Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting AAAI 2024 Spatio-Temporal Turbulence Mitigation: A Translational Perspective CVPR 2024 SpeAr: A Spectral Approach for Zero-Shot Node Classification NeurIPS 2024 Spectral Editing of Activations for Large Language Model Alignment NeurIPS 2024 Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation AAAI 2024 Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile AAAI 2024 Speculative Contrastive Decoding ACL 2024 SpeechAlign: Aligning Speech Generation to Human Preferences NeurIPS 2024 SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection NeurIPS 2024 SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models ACL 2024 Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation ACL 2024 Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing? ACL 2024 Speechworthy Instruction-tuned Language Models EMNLP 2024 Speedy Gonzales: A Collection of Fast Task-Specific Models for Spanish NAACL 2024 SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network NeurIPS 2024 SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection AAAI 2024 Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment CVPR 2024 SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream CVPR 2024 SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams NeurIPS 2024 SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation AAAI 2024 Spiking Denoising Diffusion Probabilistic Models WACV 2024 SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification ACL 2024