Genre
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.
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.
Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network
Unfortunately, even for standard linear networks in regression setting, a comprehensive characterization of the implicit bias is still an open problem.
Appendices of On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Step 2. The deduction in Step 1 can be iterated repeatedly due to the symmetry of
