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Found 5 papers, 3 papers with code
Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
To address this, we ask: can we quickly compress large generalist models into accurate and efficient specialists?
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Although 3D point cloud classification has recently been widely deployed in different application scenarios, it is still very vulnerable to adversarial attacks.
Pre-Trained Language Transformers are Universal Image Classifiers
The pretrained transformer of GPT-2 is trained to generate text and then fine-tuned to classify facial images.
Counterfactual Temporal Point Processes
This model satisfies a desirable counterfactual monotonicity condition, which is sufficient to identify counterfactual dynamics in the process of thinning.
Pretrained Language Models are Symbolic Mathematics Solvers too!
In this paper, we present a sample efficient way of solving the symbolic tasks by first pretraining the transformer model with language translation and then fine-tuning the pretrained transformer model to solve the downstream task of symbolic mathematics.
