Efficient Computing

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning NAACL 2024 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 PhonologyBench: Evaluating Phonological Skills of Large Language Models ACL 2024 Pick-or-Mix: Dynamic Channel Sampling for ConvNets CVPR 2024 PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF CVPR 2024 PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks CVPR 2024 Pipeline Parallelism with Controllable Memory NeurIPS 2024 Pitfalls and Outlooks in Using COMET EMNLP 2024 PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors CVPR 2024 Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models ICLR 2024 PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs ACL 2024 PointBeV: A Sparse Approach for BeV Predictions CVPR 2024 Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models AAAI 2024 PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates CVPR 2024 PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels ICML 2024 POSEIDON: A Consolidated Virtual Network Controller that Manages Millions of Tenants via Config Tree NSDI 2024 Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning ICML 2024 Position Engineering: Boosting Large Language Models through Positional Information Manipulation EMNLP 2024 Position: Tensor Networks are a Valuable Asset for Green AI ICML 2024 Positive Concave Deep Equilibrium Models ICML 2024 Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint NeurIPS 2024 Practical Hybrid Gradient Compression for Federated Learning Systems IJCAI 2024 Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024 Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks ICML 2024 Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024