Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
文献紹介: Similarity-Based Reconstruction Loss for ...
Search
Yumeto Inaoka
May 26, 2019
Research
1
220
文献紹介: Similarity-Based Reconstruction Loss for Meaning Representation
2019/05/28の文献紹介で発表
Yumeto Inaoka
May 26, 2019
Tweet
Share
More Decks by Yumeto Inaoka
See All by Yumeto Inaoka
文献紹介: Quantity doesn’t buy quality syntax with neural language models
yumeto
1
190
文献紹介: Open Domain Web Keyphrase Extraction Beyond Language Modeling
yumeto
0
240
文献紹介: Self-Supervised_Neural_Machine_Translation
yumeto
0
160
文献紹介: Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
yumeto
0
170
文献紹介: PAWS: Paraphrase Adversaries from Word Scrambling
yumeto
0
160
文献紹介: Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
yumeto
0
280
文献紹介: EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
yumeto
0
340
文献紹介: Decomposable Neural Paraphrase Generation
yumeto
0
230
文献紹介: Analyzing the Limitations of Cross-lingual Word Embedding Mappings
yumeto
0
230
Other Decks in Research
See All in Research
診断前の病歴テキストを対象としたLLMによるエンティティリンキング精度検証
hagino3000
1
130
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues
satai
1
100
Agentic AIとMCPを利用したサービス作成入門
mickey_kubo
0
550
VectorLLM: Human-like Extraction of Structured Building Contours via Multimodal LLMs
satai
4
210
20250605_新交通システム推進議連_熊本都市圏「車1割削減、渋滞半減、公共交通2倍」から考える地方都市交通政策
trafficbrain
0
770
AIグラフィックデザインの進化:断片から統合(One Piece)へ / From Fragment to One Piece: A Survey on AI-Driven Graphic Design
shunk031
0
450
日本語新聞記事を用いた大規模言語モデルの暗記定量化 / LLMC2025
upura
0
190
一人称視点映像解析の最先端(MIRU2025 チュートリアル)
takumayagi
6
3.5k
Time to Cash: The Full Stack Breakdown of Modern ATM Attacks
ratatata
0
130
Minimax and Bayes Optimal Best-arm Identification: Adaptive Experimental Design for Treatment Choice
masakat0
0
170
PhD Defense 2025: Visual Understanding of Human Hands in Interactions
tkhkaeio
1
190
[RSJ25] Enhancing VLA Performance in Understanding and Executing Free-form Instructions via Visual Prompt-based Paraphrasing
keio_smilab
PRO
0
110
Featured
See All Featured
Build The Right Thing And Hit Your Dates
maggiecrowley
37
2.9k
The Straight Up "How To Draw Better" Workshop
denniskardys
236
140k
Fireside Chat
paigeccino
39
3.6k
Agile that works and the tools we love
rasmusluckow
330
21k
Intergalactic Javascript Robots from Outer Space
tanoku
272
27k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.1k
Building Better People: How to give real-time feedback that sticks.
wjessup
368
19k
How GitHub (no longer) Works
holman
315
140k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
285
14k
4 Signs Your Business is Dying
shpigford
184
22k
The Invisible Side of Design
smashingmag
301
51k
Transcript
Similarity-Based Reconstruction Loss for Meaning Representation
Literature 2
Abstract • • • 3
Introduction • • 4
Related Work • • • • 5
Related Work • • 6
Auto-Encoder •ℒ , • • • • 7
Weighted similarity loss •ℒ = − σ =1 sim ,
• • • : • • sim() • 8
Weighted cross-entropy loss •ℒ = − σ =1 sim ,
log( ) • • 9
Soft label loss •ℒ = − σ =1 ∗log •
∗ = ൞ sim , σ =1 sim(,) , ∈ top N 0 , ∉ top N • • 10
True-label encoding 11
Tasks & Datasets • • • 12
Results 13
Results 14
Additional Experiments • • 15
Results • • 16
Results 17
Results 18
Results 19
Discussion • • 20
Conclusion • • • • 21