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Efficient Computing

596 directly classified papers

Papers per year

Papers

Cascade Speculative Drafting for Even Faster LLM Inference NIPS 2024

StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NIPS 2024

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NIPS 2024

CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NIPS 2024

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NIPS 2024

Efficient Lifelong Model Evaluation in an Era of Rapid Progress NIPS 2024

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length NIPS 2024

Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NIPS 2024

FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification NIPS 2024

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision NIPS 2024

SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation NIPS 2024

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling AAAI 2024

QTIP: Quantization with Trellises and Incoherence Processing NIPS 2024

Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover NIPS 2024

Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level NIPS 2024

The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators NIPS 2024

SGLang: Efficient Execution of Structured Language Model Programs NIPS 2024

Provable Tempered Overfitting of Minimal Nets and Typical Nets NIPS 2024

BOLD: Boolean Logic Deep Learning NIPS 2024

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NIPS 2024

Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NIPS 2024

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NIPS 2024

LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NIPS 2024

TFG: Unified Training-Free Guidance for Diffusion Models NIPS 2024