jxzhangjhu Goto Github PK

reliable_vqa

Implementation for the paper "Reliable Visual Question Answering Abstain Rather Than Answer Incorrectly" (ECCV 2022: https//arxiv.org/abs/2204.13631).

rembo

Bayesian optimization in high-dimensions via random embedding.

residual-flow

An implementation of the Residual Flow algorithm for out-of-distribution detection.

retgen

retomaton

PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)

rewoo

Decoupling Reasoning from Observations for Efficient Augmented Language Models

rflvm

Random feature latent variable models in Python

rho

Code for paper RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding

rl-prompt

Accompanying repo for the RLPrompt paper

rl_graph_generation

rl_grid_coarsen

rmwggis

robust-deep-learning

Train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

robust-ood-detection

Robust Out-of-distribution Detection in Neural Networks

robustlearn

Robust machine learning for responsible AI

robustness-and-uncertainty

Robustness, uncertainty, safety and trustworthiness in deep learning, e.g., NLP, CV, multimodality

robustness-foundation-models

This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.

robustness-gym

Robustness Gym is an evaluation toolkit for machine learning.

robustness_metrics

rockner

rvcl

Code for the paper "Robustness Verification for Contrastive Learning" (ICML 2022 Long Presentation)

s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

sac_pytorch

🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation

safari

Convolutions for Sequence Modeling

sample_package

sbi_llm

sbibm

Simulation-based inference benchmark

scalable-birl

Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

scalableganfingerprints

The official TensorFlow implementation for ICLR'22 Spotlight paper 'Responsible Disclosure of Generative Models Using Scalable Fingerprinting'