London Machine Learning Meetup

The London Machine Learning Meetup is the largest machine learning community in Europe. Previous speakers include Juergen Schmidhuber, David Silver, Yoshua Bengio and Andrej Karpathy.


Come to our next meetup live: http://www.meetup.com/London-Machine-Learning-Meetup/
Sponsors: Evolution AI—Intelligent data extraction from corporate and financial documents. (http://evolution.ai)







Ali Behrouz | Titans: Learning to Memorize at Test Time
Ali Behrouz | Titans: Learning to Memorize at Test Time
Hugo Laurençon | What Matters When Building Vision-Language Models?
Hugo Laurençon | What Matters When Building Vision-Language Models?
Harish Tayyar Madabushi | Emergent Abilities in Large Language Models
Harish Tayyar Madabushi | Emergent Abilities in Large Language Models
Yong Jae Lee | Next Steps in Generalist Multimodal Models
Yong Jae Lee | Next Steps in Generalist Multimodal Models
Brett Larsen | The Importance of High-Quality Data in Building Your LLMs: Lessons from DBRX
Brett Larsen | The Importance of High-Quality Data in Building Your LLMs: Lessons from DBRX
Ziming Liu | KAN: Kolmogorov-Arnold Networks
Ziming Liu | KAN: Kolmogorov-Arnold Networks
Meng Fang | Large Language Models Are Neurosymbolic Reasoners
Meng Fang | Large Language Models Are Neurosymbolic Reasoners
Yuxiong Wang | Bridging Generative & Discriminative Learning in the Open World
Yuxiong Wang | Bridging Generative & Discriminative Learning in the Open World
Brenden M. Lake | Addressing Two Classic Debates in Cognitive Science with Deep Learning
Brenden M. Lake | Addressing Two Classic Debates in Cognitive Science with Deep Learning
Yuandong Tian | Efficient Inference of LLMs with Long Context Support
Yuandong Tian | Efficient Inference of LLMs with Long Context Support
Baptiste Rozière | Code Llama: Open Foundation Models for Code
Baptiste Rozière | Code Llama: Open Foundation Models for Code
Jean Kaddour & Joshua Harris | Challenges and Applications of Large Language Models
Jean Kaddour & Joshua Harris | Challenges and Applications of Large Language Models
Ofir Press | Complementing Scale: Novel Guidance Methods for Improving Language Models
Ofir Press | Complementing Scale: Novel Guidance Methods for Improving Language Models
Joon Sung Park | Generative Agents: Interactive Simulacra of Human Behavior
Joon Sung Park | Generative Agents: Interactive Simulacra of Human Behavior
Tim Dettmers | QLoRA: Efficient Finetuning of Quantized Large Language Models
Tim Dettmers | QLoRA: Efficient Finetuning of Quantized Large Language Models
Meta AI | Language Models Can Teach Themselves to Use Tools
Meta AI | Language Models Can Teach Themselves to Use Tools
Shikun Liu | Vision-Language Reasoning with Multi-Modal Experts
Shikun Liu | Vision-Language Reasoning with Multi-Modal Experts
Lukas Lange | SwitchPrompt: Learning Domain-Specific Gated Soft Prompts
Lukas Lange | SwitchPrompt: Learning Domain-Specific Gated Soft Prompts
Jing Yu Koh | Grounding Language Models to Images for Multimodal Generation
Jing Yu Koh | Grounding Language Models to Images for Multimodal Generation
Meta AI | Human-level Play in Diplomacy Through Language Models & Reasoning
Meta AI | Human-level Play in Diplomacy Through Language Models & Reasoning
Andrew Lampinen | Language models show human-like content effects on reasoning
Andrew Lampinen | Language models show human-like content effects on reasoning
Lucas Beyer | Learning General Visual Representations
Lucas Beyer | Learning General Visual Representations
Gwanghyun Kim | DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim | DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
David Ha | Collective Intelligence for Deep Learning: A Survey of Recent Developments
David Ha | Collective Intelligence for Deep Learning: A Survey of Recent Developments
Stéphane d'Ascoli | Solving Symbolic Regression with Transformers
Stéphane d'Ascoli | Solving Symbolic Regression with Transformers
Ting Chen | Pix2Seq: A New Language Interface for Object Detection and Beyond
Ting Chen | Pix2Seq: A New Language Interface for Object Detection and Beyond
Drew Jaegle | Perceivers: Towards General-Purpose Neural Network Architectures
Drew Jaegle | Perceivers: Towards General-Purpose Neural Network Architectures
Martha White | Advances in Value Estimation in Reinforcement Learning
Martha White | Advances in Value Estimation in Reinforcement Learning
Alexey Bochkovskiy | YOLOv4 and Dense Prediction Transformers
Alexey Bochkovskiy | YOLOv4 and Dense Prediction Transformers
Anna Rogers | BERTology nuggets: what we have learned about how BERT works
Anna Rogers | BERTology nuggets: what we have learned about how BERT works