Tubidy MP3 & MP4

En popüler MP3 müziklerinizi ve MP4 videolarınızı ücretsiz indirin. Geniş bir multimedya içeriği seçkisini keşfedin ve sorunsuz indirmelerin tadını çıkarın.

ACL 2021 invited talk: Learning-to-learn through Model-based Optimization, by Prof Eric Xing
ACL 2021 invited talk: Learning-to-learn through Model-based Optimization, by Prof Eric Xing
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

İlgili Videolar

ACL 2021 invited talk: Learning-to-learn through Model-based Optimization, by Prof Eric Xing

ACL 2021 invited talk: Learning-to-learn through Model-based Optimization, by Prof Eric Xing

|
05/13/2022 -- Eric Xing (CMU & MBZUAI)

05/13/2022 -- Eric Xing (CMU & MBZUAI)

|
ICML 2021 invited talk: A Data-Centric View for Composable Natural Language Processing by Eric Xing

ICML 2021 invited talk: A Data-Centric View for Composable Natural Language Processing by Eric Xing

|
EMNLP 2021 Contributed Talk for Novel Ideas in Learning-to-Learn through Interaction(NILLI) Workshop

EMNLP 2021 Contributed Talk for Novel Ideas in Learning-to-Learn through Interaction(NILLI) Workshop

|
Expert Interview: Prof Eric Xing

Expert Interview: Prof Eric Xing

|
LinkedIn Data Week 2022 Keynote: Eric Xing

LinkedIn Data Week 2022 Keynote: Eric Xing

|
Q&A with Yi Ma and Eric Xing: CTRL: Closed-Loop Data Transcription via Rate Reduction

Q&A with Yi Ma and Eric Xing: CTRL: Closed-Loop Data Transcription via Rate Reduction

|
NAACL 2021 - ProfNER [NLP System]: Recognai team on optimizing transformers and word vectors

NAACL 2021 - ProfNER [NLP System]: Recognai team on optimizing transformers and word vectors

|
20FORCE Olsen A Machine Learning Approach to Optimizing the Allocation of Steam used in ConocoPhilli

20FORCE Olsen A Machine Learning Approach to Optimizing the Allocation of Steam used in ConocoPhilli

|
[EMNLP 2021] Contrastive Code Representation Learning

[EMNLP 2021] Contrastive Code Representation Learning

|
Reliability Testing for Natural Language Processing Systems [ACL 2021]

Reliability Testing for Natural Language Processing Systems [ACL 2021]

|
UnNatural Language Inference (ACL 2021 Outstanding Paper Talk)

UnNatural Language Inference (ACL 2021 Outstanding Paper Talk)

|
Reconciling Reinforcement Learning: Optimization, Generalization, and Exploration -- Part 3 of 4

Reconciling Reinforcement Learning: Optimization, Generalization, and Exploration -- Part 3 of 4

|
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature (EMNLP 2021)

DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature (EMNLP 2021)

|
Microsoft "Machine Learning Optimization: Auto ML advantages"

Microsoft "Machine Learning Optimization: Auto ML advantages"

|
More Identifiable yet Equally Performant Transformers for Text Classification @ ACL-IJCNLP 2021.

More Identifiable yet Equally Performant Transformers for Text Classification @ ACL-IJCNLP 2021.

|
[ACL 2021] On the Distribution, Sparsity, and Inference-time Quantization of Attention

[ACL 2021] On the Distribution, Sparsity, and Inference-time Quantization of Attention

|
Tutorial: How to write an NLP paper (WiNLP@EACL 2021, 04/19/2021)

Tutorial: How to write an NLP paper (WiNLP@EACL 2021, 04/19/2021)

|
L6 Model-based RL (Foundations of Deep RL Series)

L6 Model-based RL (Foundations of Deep RL Series)

|
NAACL 2021: Multihop without Links

NAACL 2021: Multihop without Links

|

Favorilere Ekle