Genre
Gradient-free Decoder Inversion in Latent Diffusion Models
For example, recent video LDMs can generate more than 16 frames, but GPUs with 24 GB memory can only perform gradient-based decoder inversion for 4 frames.
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
DA operations, we reveal that both ample spatial diversity and slight hardness are indispensable.
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
Transformer-based language models have found many diverse applications requiring them to process sequences of increasing length.
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv Qi Wang
Accordingly, extensive evaluations demonstrate the significance of our proposal and its scalability to multimodal large models in boosting robustness.
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
AI agents aim to solve complex tasks by combining text-based reasoning with external tool calls.
Provable Posterior Sampling with Denoising Oracles via Tilted Transport
From a Bayesian perspective, they offer a realistic modeling of data priors and facilitate solving inverse problems through posterior sampling.
Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi Criteo AI Lab, Paris, France
Score-based diffusion models (Song et al., 2021) have recently received significant attention within the
Auditing Privacy Mechanisms via Label Inference Attacks
We propose reconstruction advantage measures to audit label privatization mechanisms.
