MLKD

Events

Reading Group Meeting

May 28, 2024

Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning presented by Martim Afonso

Reading Group Meeting

May 14, 2024

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification presented by Gonçalo Gomes

Reading Group Meeting

Apr 30, 2024

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery presented by João Daniel Silva

Reading Group Meeting

Apr 16, 2024

Energy Transformer presented by David Calhas

Reading Group Meeting

Apr 2, 2024

Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity presented by Ruxandra Barbulescu

Reading Group Meeting

Mar 19, 2024

Modular Visual Question Answering via Code Generation presented by Miguel Almeida

Reading Group Meeting

Mar 5, 2024

DE-COP: Detecting Copyrighted Content in Language Models Training Data presented by André Duarte

Reading Group Meeting

Feb 20, 2024

De novo design of protein structure and function with RFdiffusion presented by Francisco Fernandes

Reading Group Meeting

Feb 6, 2024

Spatial-frequency channels, shape bias, and adversarial robustness presented by Lucas Piper

Reading Group Meeting

Jan 30, 2024

Hopfield networks is all you need presented by David Calhas

Reading Group Meeting

Jan 23, 2024

Machine Learning as a magnifying glass to study society presented by Joana Gonçalves de Sá

Reading Group Meeting

Jan 16, 2024

Large Language Model (LLM) as a System of Multiple Expert Agents An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge presented by Guilherme Costa

Reading Group Meeting

Jan 9, 2024

Chain-of-Verification Reduces Hallucination in Large Language Models presented by Artur Guimarães

Reading Group Meeting

Dec 12, 2023

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models presented by João Daniel Silva

Reading Group Meeting

Dec 5, 2023

Text Embeddings by Weakly-Supervised Contrastive Pre-training presented by João Coelho

Reading Group Meeting

Nov 28, 2023

BLADE: Combining Vocabulary Pruning and Intermediate Pretraining for Scaleable Neural CLIR presented by Luís Borges

Reading Group Meeting

Nov 21, 2023

Self-Verification Improves Few-Shot Clinical Information Extraction presented by Isabel Coutinho

Reading Group Meeting

Nov 14, 2023

Evaluation and Analysis of Hallucination in Large Vision-Language Models presented by Rita Ramos

Reading Group Meeting

Nov 7, 2023

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers presented by Artur Guimarães

Reading Group Meeting

Oct 31, 2023

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models presented by João Coelho

Reading Group Meeting

Oct 24, 2023

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning presented by João Daniel Silva

Reading Group Meeting

Oct 17, 2023

Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding presented by Isabel Coutinho

Reading Group Meeting

Oct 10, 2023

Early warning system and prediction model for Covid-19 in China presented by Prof. Hon Chi Tin

Reading Group Meeting

Oct 3, 2023

Towards General Text Embeddings with Multi-stage Contrastive Learning presented by Luís Borges

Reading Group Meeting

Sep 26, 2023

Lost in the Middle: How Language Models Use Long Contexts presented by André Duarte

Reading Group Meeting

Sep 19, 2023

Connecting metrics for shape-texture knowledge in computer vision presented by Arlindo Oliveira

Reading Group Meeting

Sep 12, 2023

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects presented by João Marques

Reading Group Meeting

Jul 11, 2023

Self-Consistent Models and Values presented by Zita Marinho

Reading Group Meeting

Jul 4, 2023

Highly accurate protein structure prediction with AlphaFold presented by Francisco Fernandes

Reading Group Meeting

Jun 27, 2023

Controversial stimuli: Pitting neural networks against each other as models of human cognition presented by Ruxandra Barbulescu

Reading Group Meeting

May 23, 2023

BAM! Born-Again Multi-Task Networks for Natural Language Understanding presented by José Cunha

Reading Group Meeting

May 9, 2023

Invariant Feature Learning for OOD Robust Image Classification Models presented by João Santinha

Reading Group Meeting

April 11, 2023

Contrastive Model Inversion for Data-Free Knowledge Distillation presented by Manuel Goulão

Cluster Usage Guide

March 28, 2023

Speakers:
João Silva and Manuel Goulão

See the cluster here

Reading Group Meeting

March 14, 2023

Grounding Language Models to Images for Multimodal Generation presented by Miguel Carvalho

Reading Group Meeting

February 28, 2023

Distilling Knowledge from Reader to Retriever for Question Answering presented by Gonçalo Oliveira

Reading Group Meeting

February 14, 2023

Constrained transformer network for ECG signal processing and arrhythmia classification presented by João Marques

Reading Group Meeting

February 7, 2023

Efficient Long-Text Understanding with Short-Text Models presented by João Coelho

Reading Group Meeting

January 31, 2023

Conditional Prompt Learning for Vision-Language Models presented by Pedro Henriques

Reading Group Meeting

January 24, 2023

Training language models to follow instructions with human feedback presented by Arlindo Oliveira and Alexandre Borges

Reading Group Meeting

January 17, 2023

Towards Neural Nets for Conscious Processing and Causal Reasoning presented by Yoshua Bengio

Reading Group Meeting

January 10, 2023

A Unified Approach to Interpreting Model Predictions presented by André Duarte

Reading Group Meeting

December 14, 2022

A Contrastive Framework for Neural Text Generation presented by João Gante

Reading Group Meeting

December 6, 2022

Measuring axiomatic identifiability of counterfactual image models presented by Miguel Monteiro

Reading Group Meeting

November 22, 2022

Deep Residual Learning for Epileptic Seizure Prediction and Tools to Expedite Biosignal Research presented by João Saraiva

Reading Group Meeting

November 22, 2022

Comparison of semantic context and inductive biases on self-attention based models presented by António Pereira

Old photo and image restoration using deep learning techniques presented by José Pereira

Reading Group Meeting

November 15, 2022

Towards Improving Ischemic Stroke Functional Outcome Prediction with Computed Tomography Brain Scans Using Deep Learning presented by Gonçalo Oliveira

Pretraining the Vision Transformer using self-supervised methods for vision-based deep reinforcement learning presented by Manuel Goulão

Reading Group Meeting

November 8, 2022

Siamese Transformer Networks for Improving Address Matching presented by André Duarte

Conversational Question Re-Writing presented by Nichal Narotamo

Reading Group Meeting

October 25, 2022

Swin Transformer V2: Scaling Up Capacity and Resolution presented by António Pereira

Reading Group Meeting

October 18, 2022

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness presented by Tiago Oliveira

Reading Group Meeting

October 11, 2022

High-Resolution Image Synthesis with Latent Diffusion Models presented by Miguel Freire

Reading Group Meeting

October 4, 2022

Text-to-Text Multi-view Learning for Passage Re-ranking presented by Luís Borges

Workshop Towards a computational theory of consciousness

September 27, 2022

Speakers:
Manuel Blum, Lenore Blum, Pedro Resende, Luís Pereira, André Martins, Bruno Martins, Mário Figueiredo and Arlindo Oliveira

Reading Group Meeting

September 20, 2022

Compositional Attention: Disentangling Search and Retrieval presented by João Daniel Silva

Reading Group Meeting

September 13, 2022

Revisiting ResNets: Improved Training and Scaling Strategies presented by Tiago Oliveira

Reading Group Meeting

June 21, 2022

Reasoning for Complex Data through Ensemble-based Self-Supervised Learning presented by Anderson Rocha

Reading Group Meeting

June 7, 2022

A contrastive rule for meta-learning presented by João Sacramento

Reading Group Meeting

May 24, 2022

Building integrative systems-level models for neuroscience and artificial intelligence presented by Diogo Moura

Reading Group Meeting

May 10, 2022

Using a Siamese Network to Accurately Detect Ischemic Stroke in Computed Tomography Scans presented by Beatriz Vieira

Reading Group Meeting

April 12, 2022

FLAVA: A Foundational Language And Vision Alignment Model presented by Diogo Moura

Reading Group Meeting

March 29, 2022

Sanity Checks for Saliency Maps presented by Bálint Magyar

Reading Group Meeting

March 15, 2022

A ConvNet for the 2020s presented by João Silva