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Techniques

9,432 papers (36 classified directly here)

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Papers (including subtopics)

Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning Interspeech 2024 Learning for CasADi: Data-driven Models in Numerical Optimization L4DC 2024 Learning from Offline Foundation Features with Tensor Augmentations NeurIPS 2024 Learning Group Actions on Latent Representations NeurIPS 2024 Learning Manipulation by Predicting Interaction RSS 2024 Learning Polynomial Problems with SL(2, R)-Equivariance ICLR 2024 Learning Robust Deep Visual Representations From EEG Brain Recordings WACV 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024 Learning Temporal Resolution in Spectrogram for Audio Classification AAAI 2024 Learning to Make Keypoints Sub-Pixel Accurate ECCV 2024 Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem UAI 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning ICML 2024 Learning to Remove Wrinkled Transparent Film with Polarized Prior CVPR 2024 Learning Universal Predictors ICML 2024 Learning Visual Prompt for Gait Recognition CVPR 2024 Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024 LEMON: Lossless model expansion ICLR 2024 Let’s Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation ACL 2024 Let's Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach WACV 2024 Leveraging Adapter for Parameter-Efficient ASR Encoder Interspeech 2024 Leveraging Customer Feedback for Multi-modal Insight Extraction NAACL 2024 LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views ICML 2024 LidarCLIP or: How I Learned To Talk to Point Clouds WACV 2024 Lie Group Decompositions for Equivariant Neural Networks ICLR 2024 Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024