Ingenuity
16 papers with code • 0 benchmarks • 0 datasets
Locomotion environment inspired by NASA’s Ingenuity helicopter.
Benchmarks
These leaderboards are used to track progress in Ingenuity
Most implemented papers
Universal and Transferable Adversarial Attacks on Aligned Language Models
Specifically, our approach finds a suffix that, when attached to a wide range of queries for an LLM to produce objectionable content, aims to maximize the probability that the model produces an affirmative response (rather than refusing to answer).
Communication Algorithms via Deep Learning
yihanjiang/Sequential-RNN-Decoder
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ICLR 2018
We show that creatively designed and trained RNN architectures can decode well known sequential codes such as the convolutional and turbo codes with close to optimal performance on the additive white Gaussian noise (AWGN) channel, which itself is achieved by breakthrough algorithms of our times (Viterbi and BCJR decoders, representing dynamic programing and forward-backward algorithms).
A free web service for fast COVID-19 classification of chest X-Ray images
ICA-PUC/ServiceIA-COVID-19
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This work provides a fast detection system of COVID-19 characteristics in X-Ray images based on deep learning (DL) techniques.
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
In contrast to most other approaches, our framework can also handle rotation-only motions that are particularly challenging for monocular odometry systems.
Automatic Discovery and Description of Human Planning Strategies
Our method utilizes a new algorithm, called Human-Interpret, that performs imitation learning to describe sequences of planning operations in terms of a procedural formula and then translates that formula to natural language.
Pretrained Language Models are Symbolic Mathematics Solvers too!
softsys4ai/differentiable-proving
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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.
Mars Rover Localization Based on A2G Obstacle Distribution Pattern Matching
Rover localization is one of the perquisites for large scale rover exploration.
Discovered Policy Optimisation
We refer to the immediate result as Learnt Policy Optimisation (LPO).
MaRF: Representing Mars as Neural Radiance Fields
The aim of this work is to introduce MaRF, a novel framework able to synthesize the Martian environment using several collections of images from rover cameras.
Math Word Problem Solving by Generating Linguistic Variants of Problem Statements
In order to ameliorate this issue, in this paper, we propose a framework for MWP solvers based on the generation of linguistic variants of the problem text.
