Muhammad Uzair Khattak - Learning to Prompt with Text Only Supervision for Vision-Language

Cohere · Beginner ·🧠 Large Language Models ·2y ago
Speaker: Muhammad Uzair KhattakAbout Speaker: I am Muhammad Uzair, recently graduated from MBZUAI with a master's degree in Computer Vision. During my master's, I was fortunate to work under the supervision of Dr. Salman Khan and Dr. Fahad Khan at the IVAL lab. I am also grateful to have been supervised and mentored by Dr. Muzammal Naseer. My research focus is on adapting foundational multi-modal models for vision tasks, including image recognition, object detection, and video action recognition. The goal is to guide these foundational models for downstream tasks with limited data (few-/zero-shot) while maintaining their pre-trained generalization for novel tasks. About the talk:ProText: Prompt Learning with Text Only Supervision, allows one to finetune CLIP by leveraging contextual knowledge derived from Large Language Models (LLMs) without relying on visual samples. ProText exhibits strong transferability towards unseen datasets and classes and effectively overcomes the transferability limitations of LLM-based Prompt Ensembling methods.Through text-only training, ProText improves over previous prompt ensembling and image-supervised methods in challenging cross-dataset transfer settings.We have open-sourced our checkpoints and source code. ProText offers a drop-in replacement for CLIP’s text transformer. We look forward to the impact of ProText on applications beyond what we tested in the manuscript.abs: https://arxiv.org/abs/2401.02418 This session is brought to you by the Cohere For AI Open Science Community - a space where ML researchers, engineers, linguists, social scientists, and lifelong learners connect and collaborate with each other. Thank you to our Community Leads for organizing and hosting this event. If you’re interested in sharing your work, we welcome you to join us! Simply fill out the form at https://forms.gle/ALND9i6KouEEpCnz6 to express your interest in becoming a speaker. Join the Cohere For AI Open Science Community to see a full list
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Cohere · Cohere · 0 of 60

← Previous Next →
1 Andreas Madsen on Independent Research and Interpretability
Andreas Madsen on Independent Research and Interpretability
Cohere
2 Plex: Towards Reliability using Pretrained Large Model Extensions
Plex: Towards Reliability using Pretrained Large Model Extensions
Cohere
3 Independent Research Panel Discussion
Independent Research Panel Discussion
Cohere
4 The Future of ML Ops: Open Challenges and Opportunities
The Future of ML Ops: Open Challenges and Opportunities
Cohere
5 C4AI Special - Grad School Applications
C4AI Special - Grad School Applications
Cohere
6 Cohere For AI Fireside Chat: Samy Bengio
Cohere For AI Fireside Chat: Samy Bengio
Cohere
7 Cohere For AI - Scholars Program Information Session
Cohere For AI - Scholars Program Information Session
Cohere
8 Modular and Composable Transfer Learning with Jonas Pfeiffer
Modular and Composable Transfer Learning with Jonas Pfeiffer
Cohere
9 Jay Alammar Presents Large Language Models for Real World Applications
Jay Alammar Presents Large Language Models for Real World Applications
Cohere
10 Catherine Olsson - Mechanistic Interpretability: Getting Started
Catherine Olsson - Mechanistic Interpretability: Getting Started
Cohere
11 How To Prompt Engineer a Tech Interview App | TOHacks 2022 Winners
How To Prompt Engineer a Tech Interview App | TOHacks 2022 Winners
Cohere
12 C4AI Sparks: Samy Bengio
C4AI Sparks: Samy Bengio
Cohere
13 BERTopic for Topic Modeling - Maarten Grootendorst - Talking Language AI Ep#1
BERTopic for Topic Modeling - Maarten Grootendorst - Talking Language AI Ep#1
Cohere
14 Exploring News Headlines With Text Clustering | Jay Alammar
Exploring News Headlines With Text Clustering | Jay Alammar
Cohere
15 Scale TransformX | Fireside Chat: Aidan Gomez and Alexandr Wang
Scale TransformX | Fireside Chat: Aidan Gomez and Alexandr Wang
Cohere
16 Making Large Language Models Accessible | Scale AI Fireside chat with Bill MacCartney
Making Large Language Models Accessible | Scale AI Fireside chat with Bill MacCartney
Cohere
17 Intro to KeyBERT - BERTopic for Topic Modeling
Intro to KeyBERT - BERTopic for Topic Modeling
Cohere
18 Intro to PolyFuzz - BERTopic for Topic Modeling
Intro to PolyFuzz - BERTopic for Topic Modeling
Cohere
19 API Design Philosophy - BERTopic for Topic Modeling
API Design Philosophy - BERTopic for Topic Modeling
Cohere
20 Code demo of BERTopic - BERTopic for Topic Modeling
Code demo of BERTopic - BERTopic for Topic Modeling
Cohere
21 Short texts vs long texts in BERTopic- BERTopic for Topic Modeling
Short texts vs long texts in BERTopic- BERTopic for Topic Modeling
Cohere
22 How People can help BERTopic - BERTopic for Topic Modeling
How People can help BERTopic - BERTopic for Topic Modeling
Cohere
23 Cohere For AI: Training Sensorimotor Agency in Cellular Automata with Bert Chan
Cohere For AI: Training Sensorimotor Agency in Cellular Automata with Bert Chan
Cohere
24 Cohere API Community Demos | October 2022
Cohere API Community Demos | October 2022
Cohere
25 Perfect Prompt Demo By Arjun Patel
Perfect Prompt Demo By Arjun Patel
Cohere
26 Project Idea Generator Demo By Tobechukwu Okamkpa
Project Idea Generator Demo By Tobechukwu Okamkpa
Cohere
27 SuperTransformer Demo By Amir Nagri and Team Megatron
SuperTransformer Demo By Amir Nagri and Team Megatron
Cohere
28 Cohere For AI Fireside Chat: Pablo Samuel Castro
Cohere For AI Fireside Chat: Pablo Samuel Castro
Cohere
29 How Startups Can Use NLP to Build a Competitive Moat
How Startups Can Use NLP to Build a Competitive Moat
Cohere
30 Build Chatbots Faster with Large Language Models
Build Chatbots Faster with Large Language Models
Cohere
31 Tools to Improve Training Data - Vincent Warmerdam - Talking Language AI Ep#2
Tools to Improve Training Data - Vincent Warmerdam - Talking Language AI Ep#2
Cohere
32 Utku Evci - Sparsity and Beyond Static Network Architectures
Utku Evci - Sparsity and Beyond Static Network Architectures
Cohere
33 Adding human intelligence to ML models with human-learn #shorts #machinelearning #nlp
Adding human intelligence to ML models with human-learn #shorts #machinelearning #nlp
Cohere
34 Iterating on your data with doubtlab - Tools to Improve Training Data
Iterating on your data with doubtlab - Tools to Improve Training Data
Cohere
35 Adding Human Intelligence to ML models with Human learn - Tools to Improve Training Data
Adding Human Intelligence to ML models with Human learn - Tools to Improve Training Data
Cohere
36 Scikt Learn embeddings helpers with Embetter - Tools to Improve Training Data
Scikt Learn embeddings helpers with Embetter - Tools to Improve Training Data
Cohere
37 Building Cohere API Demo App With Streamlit | Adrien Morisot
Building Cohere API Demo App With Streamlit | Adrien Morisot
Cohere
38 Rosanne Liu - career creation for non-standard candidates
Rosanne Liu - career creation for non-standard candidates
Cohere
39 Giving computers many human languages with Cohere's multilingual embeddings
Giving computers many human languages with Cohere's multilingual embeddings
Cohere
40 Learning by Distilling Context with Charlie Snell
Learning by Distilling Context with Charlie Snell
Cohere
41 Sentence Transformers and Embedding Evaluation - Nils Reimers - Talking Language AI Ep#3
Sentence Transformers and Embedding Evaluation - Nils Reimers - Talking Language AI Ep#3
Cohere
42 Reflecting on for.ai...
Reflecting on for.ai...
Cohere
43 Create a Custom Language Model with Surge AI and Cohere
Create a Custom Language Model with Surge AI and Cohere
Cohere
44 Cohere API Community Demos | November 2022
Cohere API Community Demos | November 2022
Cohere
45 Cohere API Community Demos | December 2022
Cohere API Community Demos | December 2022
Cohere
46 Cohere For AI Presents: Colin Raffel
Cohere For AI Presents: Colin Raffel
Cohere
47 Lucas Beyer - FlexiViT: One Model for All Patch Sizes
Lucas Beyer - FlexiViT: One Model for All Patch Sizes
Cohere
48 What is Neural Search? Nils Reimers - Sentence Transformers and Embedding Evaluation
What is Neural Search? Nils Reimers - Sentence Transformers and Embedding Evaluation
Cohere
49 Evaluating Information Retrieval with BEIR
Evaluating Information Retrieval with BEIR
Cohere
50 Evaluating Embeddings with MTEB Massive text embeddings benchmark - Nils Reimers
Evaluating Embeddings with MTEB Massive text embeddings benchmark - Nils Reimers
Cohere
51 High quality text classification with few training examples with SetFit
High quality text classification with few training examples with SetFit
Cohere
52 Multilingual and cross lingual embeddings - Nils Reimers
Multilingual and cross lingual embeddings - Nils Reimers
Cohere
53 Developing open-source software: lessons, benefits, and challenges - Nils Reimers
Developing open-source software: lessons, benefits, and challenges - Nils Reimers
Cohere
54 Ask Me Anything with Ed Grefenstette, Head of Machine Learning at Cohere
Ask Me Anything with Ed Grefenstette, Head of Machine Learning at Cohere
Cohere
55 HyperWrite Powers Its Generative AI Service with Cohere
HyperWrite Powers Its Generative AI Service with Cohere
Cohere
56 EMNLP 2022 Conference Special Edition - Talking Language AI #4
EMNLP 2022 Conference Special Edition - Talking Language AI #4
Cohere
57 Cohere API Community Demos | January 2023
Cohere API Community Demos | January 2023
Cohere
58 C4AI Sparks: Rosanne Liu on Career Creation for Non-Standard Candidates
C4AI Sparks: Rosanne Liu on Career Creation for Non-Standard Candidates
Cohere
59 Michael Tschannen -  Image-and-Language Understanding from Pixels Only
Michael Tschannen - Image-and-Language Understanding from Pixels Only
Cohere
60 How to Add AI to your App
How to Add AI to your App
Cohere

Related AI Lessons

I Tested 50 AI Prompts — Here’s the Formula That Always Works (2026)
Discover a proven formula for crafting effective AI prompts that drive results, based on testing 50 prompts
Medium · ChatGPT
How to Use ChatGPT in Business: A Practical Guide for 2026
Learn how to leverage ChatGPT in your business to automate tasks and generate content at scale, increasing efficiency and productivity
Medium · ChatGPT
The Complete Guide to Prompt Engineering: Unlock the Full Potential of AI
Learn how to unlock the full potential of AI with prompt engineering, a crucial factor in achieving game-changing outputs
Medium · Machine Learning
How to Add AI Features to Your SaaS App Without Breaking Everything
Learn how to add AI features to your SaaS app without disrupting your service, covering LLM integration, streaming responses, and cost management
Dev.to AI
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →