Technology
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
In addition, we introduce a reversible mapping to determine the defensive target label.
Non-asymptotic Convergence of Training Transformers for Next-token Prediction
NTP is limited, with existing studies focusing mainly on asymptotic performance. This paper provides a fine-grained non-asymptotic analysis of the training dynamics of a one-layer transformer consisting of a self-attention module followed by a feed-forward layer.
Appendix ProteinShake: Building datasets and benchmarks for deep learning on protein structures
Table 3: Comparison of models trained with different representations of protein structure across various tasks, on a random data split . The optimal choice of representation depends on the task. Shown are mean and standard deviation across four runs with different seeds. Table 4: Comparison of models trained with different representations of protein structure across various tasks, on a sequence data split . Table 5: Comparison of models trained with different representations of protein structure across various tasks, on a structure data split .
ProteinShake Building datasets and benchmarks for deep learning on protein structures
However, the heterogeneity of protein data constitutes a problem for reproducible machine learning.
Fairness A ware Counterfactuals for Subgroups
Machine learning is now an integral part of decision-making processes across various domains, e.g., medical applications [
IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos
While significant progress has been made in developing autonomous agents for shape assembly, existing datasets have not yet tackled the 4D grounding of assembly instructions in videos, essential for a holistic understanding of assembly in 3D space over time.