Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models

[CVPR 2024 Highlight] Official PyTorch implementation of "MindBridge: A Cross-Subject Brain Decoding Framework"

[ECCV 2024] Tokenize Anything via Prompting

EVA Series: Visual Representation Fantasies from BAAI

official code for "Large Language Models as Optimizers"

Official code for Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations

[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

Code and data for the paper "Steering Conversational Large Language Models for Long Emotional Support Conversations" along with a UI to visualize attentions

Official code repo for paper "I Could’ve Asked That: Reformulating Unanswerable Questions"

[EMNLP 2024] Ask-before-Plan: Proactive Language Agents for Real-World Planning

Source code of DRAGIN, ACL 2024 main conference Long Paper

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis

A list of papers for emotion recognition using machine learning/deep learning.

A list of papers for physiological signal classification using machine learning/deep learning.

Official Code for Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG (IJCAI 2023)

Corpus of resources for multimodal machine learning with physiological signals (mmps).

The official pytorch code for paper "Facial Emotion Recognition with Noisy Multi-task Annotations" (2021 WACV)

Official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval". CVPR 2022

GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition

[T-PAMI] A curated list of self-supervised multimodal learning resources.

A curated list of state-of-the-art papers on deep learning for universal representations of time series.