Efficient Computing

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS 2024 L2P-MIP: Learning to Presolve for Mixed Integer Programming ICLR 2024 Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024 Language Model Cascades: Token-Level Uncertainty And Beyond ICLR 2024 Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models NeurIPS 2024 Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining COLING 2024 Language-Specific Pruning for Efficient Reduction of Large Language Models COLING 2024 Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning ICLR 2024 Large Language Models as Tool Makers ICLR 2024 Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps ECCV 2024 Larimar: Large Language Models with Episodic Memory Control ICML 2024 Latent Modulated Function for Computational Optimal Continuous Image Representation CVPR 2024 LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud NAACL 2024 Layer-Adaptive State Pruning for Deep State Space Models NeurIPS 2024 LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging ICML 2024 LDB: An Efficient Latency Profiling Tool for Multithreaded Applications NSDI 2024 LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions ICML 2024 Learned Lossless Image Compression based on Bit Plane Slicing CVPR 2024 Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction ECCV 2024 Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network ECCV 2024 Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking ICML 2024 Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems NeurIPS 2024 Learning Causal Dynamics Models in Object-Oriented Environments ICML 2024 Learning Cut Generating Functions for Integer Programming NeurIPS 2024 Learning Differentiable Tensegrity Dynamics using Graph Neural Networks CoRL 2024