Picture for Si Si

Si Si

Automatic Engineering of Long Prompts

Add code
Nov 16, 2023
Viaarxiv icon

Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory

Add code
Nov 19, 2022
Figure 1 for Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Figure 2 for Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Figure 3 for Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Figure 4 for Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Viaarxiv icon

Preserving In-Context Learning ability in Large Language Model Fine-tuning

Add code
Nov 01, 2022
Figure 1 for Preserving In-Context Learning ability in Large Language Model Fine-tuning
Figure 2 for Preserving In-Context Learning ability in Large Language Model Fine-tuning
Figure 3 for Preserving In-Context Learning ability in Large Language Model Fine-tuning
Figure 4 for Preserving In-Context Learning ability in Large Language Model Fine-tuning
Viaarxiv icon

DC-BENCH: Dataset Condensation Benchmark

Add code
Jul 20, 2022
Figure 1 for DC-BENCH: Dataset Condensation Benchmark
Figure 2 for DC-BENCH: Dataset Condensation Benchmark
Figure 3 for DC-BENCH: Dataset Condensation Benchmark
Figure 4 for DC-BENCH: Dataset Condensation Benchmark
Viaarxiv icon

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

Add code
Jun 23, 2021
Figure 1 for Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
Figure 2 for Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
Figure 3 for Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
Figure 4 for Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
Viaarxiv icon

How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers

Add code
Oct 19, 2020
Figure 1 for How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Figure 2 for How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Figure 3 for How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Figure 4 for How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Viaarxiv icon

Multi-Stage Influence Function

Add code
Jul 17, 2020
Figure 1 for Multi-Stage Influence Function
Figure 2 for Multi-Stage Influence Function
Figure 3 for Multi-Stage Influence Function
Figure 4 for Multi-Stage Influence Function
Viaarxiv icon

Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders

Add code
Jan 14, 2020
Figure 1 for Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
Figure 2 for Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
Figure 3 for Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
Figure 4 for Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
Viaarxiv icon

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

Add code
Oct 30, 2019
Figure 1 for A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Figure 2 for A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Figure 3 for A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Figure 4 for A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Viaarxiv icon

Robustness Verification of Tree-based Models

Add code
Jun 15, 2019
Figure 1 for Robustness Verification of Tree-based Models
Figure 2 for Robustness Verification of Tree-based Models
Figure 3 for Robustness Verification of Tree-based Models
Figure 4 for Robustness Verification of Tree-based Models
Viaarxiv icon