Efficient Computing

Compression-Aware Video Super-Resolution CVPR 2023 Computational 3D Imaging with Position Sensors ICCV 2023 Computationally-Efficient Neural Image Compression with Shallow Decoders ICCV 2023 Computation and Data Efficient Backdoor Attacks ICCV 2023 Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters Interspeech 2023 Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities JMLR 2023 Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference NeurIPS 2023 Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023 Conmer: Streaming Conformer Without Self-attention for Interactive Voice Assistants Interspeech 2023 Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity JMLR 2023 Consonant-emphasis Method Incorporating Robust Consonant-section Detection to Improve Intelligibility of Bone-conducted speech Interspeech 2023 Consonant is all you need: a compact representation of English text for efficient NLP EMNLP 2023 Contactless Oxygen Monitoring with Radio Waves and Gated Transformer MLHC 2023 Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers CVPR 2023 Context Compression for Auto-regressive Transformers with Sentinel Tokens EMNLP 2023 Contextual Convolutional Networks ICLR 2023 Continual Transformers: Redundancy-Free Attention for Online Inference ICLR 2023 ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion NeurIPS 2023 Conveyor: One-Tool-Fits-All Continuous Software Deployment at Meta OSDI 2023 COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec ICCV 2023 Coop: Memory is not a Commodity NeurIPS 2023 CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference NeurIPS 2023 Cost-effective Artificial Neural Networks IJCAI 2023 Couplformer: Rethinking Vision Transformer With Coupling Attention WACV 2023 CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU AAAI 2023