SOTAVerified

Quantization

Quantization is a promising technique to reduce the computation cost of neural network training, which can replace high-cost floating-point numbers (e.g., float32) with low-cost fixed-point numbers (e.g., int8/int16).

Source: Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 4925 papers

TitleStatusHype
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language ModelsCode3
The Unreasonable Ineffectiveness of the Deeper LayersCode3
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting CompressionCode3
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian SplattingCode3
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion ModelsCode3
Behavior Generation with Latent ActionsCode3
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens IntactCode3
Language-Codec: Bridging Discrete Codec Representations and Speech Language ModelsCode3
OneBit: Towards Extremely Low-bit Large Language ModelsCode3
BiLLM: Pushing the Limit of Post-Training Quantization for LLMsCode3
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheCode3
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationCode3
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-DesignCode3
Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language ModelsCode3
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust AdaptationCode3
TinyGPT-V: Efficient Multimodal Large Language Model via Small BackbonesCode3
Compact 3D Scene Representation via Self-Organizing Gaussian GridsCode3
MotionGPT: Human Motion as a Foreign LanguageCode3
High-Fidelity Audio Compression with Improved RVQGANCode3
LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsCode3
Autoregressive Image Generation using Residual QuantizationCode3
8-bit Optimizers via Block-wise QuantizationCode3
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsCode3
MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group QuantizationCode2
MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group QuantizationCode2
Show:102550
← PrevPage 5 of 197Next →
All datasetsImageNetCIFAR-10Wiki-40BAgeDB-30CFP-FPCOCO (Common Objects in Context)IJB-BIJB-CKnowledge-based:LFW

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FQ-ViT (ViT-L)Top-1 Accuracy (%)85.03—Unverified
2FQ-ViT (ViT-B)Top-1 Accuracy (%)83.31—Unverified
3FQ-ViT (Swin-B)Top-1 Accuracy (%)82.97—Unverified
4FQ-ViT (Swin-S)Top-1 Accuracy (%)82.71—Unverified
5FQ-ViT (DeiT-B)Top-1 Accuracy (%)81.2—Unverified
6FQ-ViT (Swin-T)Top-1 Accuracy (%)80.51—Unverified
7FQ-ViT (DeiT-S)Top-1 Accuracy (%)79.17—Unverified
8Xception W8A8Top-1 Accuracy (%)78.97—Unverified
9ADLIK-MO-ResNet50-W4A4Top-1 Accuracy (%)77.88—Unverified
10ADLIK-MO-ResNet50-W3A4Top-1 Accuracy (%)77.34—Unverified
#ModelMetricClaimedVerifiedStatus
13DCNN_VIVA_3MAP160,327.04—Unverified
2DTQMAP0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1OutEffHop-Bert_basePerplexity6.3—Unverified
2OutEffHop-Bert_basePerplexity6.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Accuracy98.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Accuracy92.92—Unverified
#ModelMetricClaimedVerifiedStatus
1SSD ResNet50 V1 FPN 640x640MAP34.3—Unverified
#ModelMetricClaimedVerifiedStatus
1TAR @ FAR=1e-495.13—Unverified
#ModelMetricClaimedVerifiedStatus
1TAR @ FAR=1e-496.38—Unverified
#ModelMetricClaimedVerifiedStatus
13DCNN_VIVA_5All84,809,664—Unverified
#ModelMetricClaimedVerifiedStatus
1Accuracy99.8—Unverified