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Found 12 papers, 3 papers with code
Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Multimodal Large Language Models (MLLMs) have showcased impressive skills in tasks related to visual understanding and reasoning.
Ranked #64 on
Visual Question Answering
on MM-Vet
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking
The language-conditioned robotic manipulation aims to transfer natural language instructions into executable actions, from simple pick-and-place to tasks requiring intent recognition and visual reasoning.
Object-Centric Instruction Augmentation for Robotic Manipulation
Humans interpret scenes by recognizing both the identities and positions of objects in their observations.
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
Generative Adversarial Imitation Learning (GAIL) stands as a cornerstone approach in imitation learning.
PMNN:Physical Model-driven Neural Network for solving time-fractional differential equations
It establishes a temporal iteration scheme based on physical model-driven neural networks which effectively combines deep neural networks (DNNs) with interpolation approximation of fractional derivatives.
Recognizable Information Bottleneck
The recent PAC-Bayes IB uses information complexity instead of information compression to establish a connection with the mutual information generalization bound.
CP$^3$: Channel Pruning Plug-in for Point-based Networks
CP$^3$ is elaborately designed to leverage the characteristics of point clouds and PNNs in order to enable 2D channel pruning methods for PNNs.
CP3: Channel Pruning Plug-In for Point-Based Networks
Directly implementing the 2D CNN channel pruning methods to PNNs undermine the performance of PNNs because of the different representations of 2D images and 3D point clouds as well as the network architecture disparity.
Label-Guided Auxiliary Training Improves 3D Object Detector
Detecting 3D objects from point clouds is a practical yet challenging task that has attracted increasing attention recently.
Hybrid Atlas Building with Deep Registration Priors
Registration-based atlas building often poses computational challenges in high-dimensional image spaces.
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
We propose a scheme for defending against adversarial attacks by suppressing the largest eigenvalue of the Fisher information matrix (FIM).
The Adversarial Attack and Detection under the Fisher Information Metric
By considering the data space as a non-linear space with the Fisher information metric induced from a neural network, we first propose an adversarial attack algorithm termed one-step spectral attack (OSSA).
