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Slides AND Machine learning

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36 Documents

CIKM 2023 Tutorial--Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings

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2024-04-01 About

How many Labelled Examples do you need for a BERT-sized Model to Beat GPT-4 on Predictive Tasks? - Speaker Deck

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2023-10-27 About

Jerry Liu sur Twitter : "Some critical data considerations that you must take into account to make your LLM application production-ready"

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2023-07-23 About

Retrieval-augmented LMs, and prompting

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2023-06-16 About

Prompting, Instruction Finetuning, and RLHF (CS224N)

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2023-02-16 About

Intro to Transformers - Google Slides

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2022-09-15 About

Domain Adaptation for Dense Retrieval Models - Nils Reimers - ICML 2022 Workshop on Knowledge Retrieval and Language Models

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2022-09-02 About

Recent Advances in Retrieval-Augmented Text Generation

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2022-07-11 About

cs224n Lecture 13: Integrating Knowledge in Language Models

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2022-07-08 About

Rodrigo Nogueira sur Twitter : "Slides of our WSDM 2021 tutorial "Pretrained Transformers for Text Ranking: BERT and Beyond"

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2021-03-09 About

Named Entity Recognition without Labelled Data: A Weak Supervision Approach (2020) (slides)

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2021-02-24 About

The Natural Language Decathlon: Multitask Learning as Question Answering (slides)

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2021-01-26 About

Siamese CNN for job–candidate matching (slides)

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2020-02-10 About

TEXTUAL REPRESENTATION LEARNING DRIVEN BY KNOWLEDGE RESOURCES: APPLICATION TO INFORMATION RETRIEVAL

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2019-10-21 About

Neural Models for Information Retrieval (2017)

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2019-08-18 About

Similarity Learning with (or without) Convolutional Neural Network (slides)

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2019-07-03 About

Integrating Domain-Knowledge into Deep Learning (2019)

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2019-03-03 About

Neural Transfer Learning for Natural Language Processing - Seb Ruder PhD Thesis

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2019-02-27 About

Jacob Devlin talks about BERT at the Stanford NLP seminar

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2019-02-11 About

Romain Vial (Hyperlex) at Paris NLP meetup, slides

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2019-01-24 About

Monolingual data in NMT

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2018-12-04 About

Asutosh Sahoo sur Twitter : "Slides of my seminar on ULMFIT"

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2018-11-14 About

Trying to Understand Recurrent Neural Networks for Language Processing (slides)

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2018-11-11 About

Joint Models in NLP - Slides - Tutorial (EMNLP 2018) - Yue Zhang

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**Joint models: solve 2 tasks at once.**

Related tasks: POS tagging, NER, chuncking. Pipeline tasks

Motivations:

- reduce error propagation
- information exchange between tasks

Challenges:

- Joint learning
- Search

History: statistical models. 2 kinds:

- Graph-Based Methods
    - Traditional solution:
        - Score each candidate, select the highest-scored output
        - Search-space typically exponential
- Transition-Based Methods
    - Transition-Based systems: Automata
        - State: partial result during decoding, Action: operations that can be applied for state transition
        - Output constructed incrementally

- Deep learning based model
    - Neural transition based models
    - Neural graph-based models
        - Cross task
            - Seminal work: Collobert, Ronan, et al. "Natural language processing (almost) from scratch."
            - Not all tasks are mutually beneficial
            - Ramachandran, et al.  “Unsupervised pretraining for sequence to sequence learning.”
            - Peters, Matthew E., et al. "Deep contextualized word representations." (ELMo)
            - "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding."
            - ULMFIT
            - Correlation between multi-task learning and pretraining
        - Cross lingual
        - Cross domain
        - Cross standard

2018-11-06 About

Towards bridging the gap between deep learning and brains

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2018-10-23 About

Time, Context and Causality in Recommender Systems

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2018-10-18 About

Unsupervised Machine Translation. G. Lample (slides)

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2018-09-29 About

Representations for Language: From Word Embeddings to Sentence Meanings (2017) - Slides

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2018-08-28 About

Deep learning : background and application to natural language processing

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2018-07-07 About

Named Entity Recognition and the Stanford NER Software (slides)

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2018-05-20 About

Convolutional Neural Networks on Graphs

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2018-05-05 About

Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition (slides)

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2017-07-11 About

Distributed Semantics & Embeddings

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2017-07-10 About

"Around Machine Learning in 90 Minutes" slides

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2017-06-27 About

lectures: Oxford Deep NLP 2017 course

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2017-02-07 About

Introduction to Machine learning - Google Slides

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2016-01-18 About