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Model Architecture

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Papers

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024 Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time ICLR 2024 Layer Collaboration in the Forward-Forward Algorithm AAAI 2024 LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry CVPR 2024 Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings ICLR 2024 Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning Interspeech 2024 Learning Group Actions on Latent Representations NeurIPS 2024 Learning Polynomial Problems with SL(2, R)-Equivariance ICLR 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024 Learning to Make Keypoints Sub-Pixel Accurate ECCV 2024 Learning to Remove Wrinkled Transparent Film with Polarized Prior CVPR 2024 LEMON: Lossless model expansion ICLR 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 Lie Group Decompositions for Equivariant Neural Networks ICLR 2024 Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024 LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis Interspeech 2024 LLM can Achieve Self-Regulation via Hyperparameter Aware Generation ACL 2024 Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics ICML 2024 Localizing Memorization in SSL Vision Encoders NeurIPS 2024 LOCR: Location-Guided Transformer for Optical Character Recognition EMNLP 2024 Logit Standardization in Knowledge Distillation CVPR 2024 LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models COLING 2024 Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning EMNLP 2024