| 401. | Building products for Continous Delivery in Machine Learning | AISC | 10 | |
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| 402. | explainX - Explainable AI for model developers | AISC | 10 | |
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| 403. | Making of a conversational agent platform | AISC | 10 | |
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| 404. | Quantifying the dynamics of failure across science, startups and security | AISC | 10 | |
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| 405. | XAI with Monotonic Constraints & Interaction Constraints | 10 | |
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| 406. | LLM as Personal Financial Assistant | 13 | |
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| 407. | A Literature Review on ML in Health Care : Introducing new AISC Stream | AISC | 10 | Review |
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| 408. | Discovering Symbolic Inductive Biases | AISC | 10 | |
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| 409. | Towards Amortized Ranking-Critical Training for Collaborative Filtering | AISC | 10 | |
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| 410. | Learnability can be undecidable | AISC | 10 | |
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| 411. | DeepFakes & Explainable AI Applications in NLP, Biomedical & Malware Classification | 10 | |
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| 412. | [MOREL] Unsupervised Video Object Segmentation for Deep Reinforcement Learning | 10 | |
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| 413. | Statistical Issues in Agent-Based Models | AISC | 10 | |
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| 414. | Data exploration – can machine learning discover new drugs? | AISC | 10 | |
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| 415. | Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (algorithm) | AISC | 10 | |
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| 416. | Machine Learning, Communities, and Future of Work - Deep Random Talks - Episode 10 | 10 | |
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| 417. | Neural Image Caption Generation with Visual Attention (discussion) | AISC | 10 | Discussion |
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| 418. | [GATA] Learning Dynamic Belief Graphs to Generalize on Text-Based Games | AISC | 10 | |
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| 419. | Predicting compound activity from phenotypic profiles | 10 | |
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| 420. | Xun Wang (GEICO): 7 Job Profiles to Demystify the Data Science Career Landscape | 10 | |
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| 421. | Build and Deploy NLP models | NLP Overview | 10 | Let's Play |
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| 422. | You May Not Need Attention | TDLS Code Review | 11 | Review |
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| 423. | [T-Fixup] Improving Transformer Optimization Through Better Initialization | AISC | 11 | |
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| 424. | Efficient implementation of a neural network on hardware using compression techniques | 11 | |
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| 425. | [RecSys Challenge 2019 2nd Place] Robust Contextual Models for In-Session Personalization | AISC | 11 | |
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| 426. | Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning | | 11 | |
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| 427. | Policy Priority Inference: Simulations for Government Strategy | AISC | 11 | |
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| 428. | [AI Product] How to build products people actually want to use | AISC | 11 | Guide |
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| 429. | PatentNet: Search for the Next Best Invention with Confidence | 11 | |
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| 430. | [Word2Bits] Quantized Word Vectors | AISC | 11 | |
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| 431. | DeepStack: Expert-Level Artificial Intelligence in Heads-Up No-Limit Poker | AISC | 11 | |
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| 432. | [original backprop paper] Learning representations by back-propagating errors (part1) | AISC | 11 | |
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| 433. | [MEM] Learning Permutation Invariant Representations using Memory Networks | AISC | 11 | |
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| 434. | Building Ernie for Topic Modelling Using LLMs | 11 | |
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| 435. | Author speaking: Proper Machine Learning Explanations through LIME using OptiLIME framework | AISC | 11 | |
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| 436. | ChemOS: An orchestration software to democratize autonomous discovery | AISC | 11 | |
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| 437. | Computer vision to deeply phenotype human diseases across physiological, tissue and molecular scales | 11 | Vlog |
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| 438. | Working Group on Landcover Classification Wrap-up + Spotlight | 11 | |
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| 439. | Large Language Models as a Building Blocks | 16 | |
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| 440. | An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph | AISC | 11 | |
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| 441. | MultiTask Learning with NLP | 11 | Let's Play |
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| 442. | A machine learning and informatics program package for modeling of chemical and materials data | AIS | 11 | |
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| 443. | Overview of Reinforcement Learning | AISC | 11 | |
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| 444. | Computational prediction of diagnosis & feature selection on mesothelioma patient records | AISC | 12 | |
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| 445. | Real-World Quantum Communication: One Module at a Time | AISC | 12 | |
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| 446. | The Emergence of KnowledgeOps | 12 | |
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| 447. | Model Selection for Optimal Prediction in Statistical Learning (Part 1: 7 Wheels of Stat Learning) | 12 | |
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| 448. | Navigating the Idea Maze: Continuous discovery frameworks for (AI?) products | AISC | 12 | |
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| 449. | Model Selection for Optimal Prediction in Statistical Learning - Part 2 / 2 | AISC | 12 | |
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| 450. | An eye on AI in Healthcare | AISC | 12 | |
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| 451. | See.Know.Bias - Using AI to Develop Media Literacy and Keep News Neutral | workshop capstone | 12 | |
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| 452. | Integrating LLMs into Your Product: Considerations and Best Practices | 12 | |
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| 453. | Operationalizing AI in Business at Scale | AISC | 12 | |
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| 454. | A Literature Review on ML in Climate Science | AISC | 12 | Review |
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| 455. | Explainable Neural Networks based on Additive Index Models | TDLS | 13 | |
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| 456. | TDLS - Announcing Fast Track Stream | 13 | |
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| 457. | FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding | 13 | |
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| 458. | Community-Driven Product Development - Deep Random Talk S2E3 | 13 | |
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| 459. | Dirichlet Pruning for Neural Network Compression | AISC | 13 | |
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| 460. | Non-Euclidean Universal Approximation | AISC | 13 | |
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| 461. | Machine Learning Methods for High Throughput Virtual Screening with a focus on Organic Photovoltaics | 13 | |
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| 462. | Overview: Machine Learning for Quantum Matter Research | AISC | 13 | |
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| 463. | Reconstructing quantum states with generative models | TDLS Author Speaking | 13 | |
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| 464. | New methods for identifying latent manifold structure from neural data | ASIC | 13 | |
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| 465. | Daniel Lemire: The research paper should NOT be the final product | AISC | 13 | |
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| 466. | Second Brain for Technical Knowledge Management- DRT S2 E4 | 14 | |
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| 467. | Integrating Physics into Machine Learning Models for Scientific Discovery | AISC | 14 | |
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| 468. | Massive acceleration by using neural networks to emulate mechanism-based biological models | 14 | Vlog |
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| 469. | [cnvrg.io] Operating System for Machine Learning | AISC | 14 | |
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| 470. | [OpenAI] Solving Rubik's Cube with a Robot Hand | AISC | 14 | |
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| 471. | Structured Neural Summarization | AISC Lunch & Learn | 14 | |
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| 472. | Machine Learning in Mobile Cybersecurity: An Overview | 14 | |
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| 473. | [DOM-Q-NET] Grounded RL on Structured Language | AISC Author Speaking | 14 | |
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| 474. | Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples | AISC | 14 | |
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| 475. | Semi Supervised Learning: Introduction - Session 1 | 14 | |
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| 476. | [Phoenics] A Bayesian Optimizer for Chemistry | AISC Author Speaking | 14 | |
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| 477. | Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning | | 14 | |
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| 478. | Mathematics of Deep Learning: Introduction- Pytorch and linear algebra - Session 1 | 14 | |
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| 479. | [LISA] Linguistically-Informed Self-Attention for Semantic Role Labeling | AISC | 14 | |
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| 480. | AI and ML toward Telcom future | AISC | 14 | |
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| 481. | Explaining image classifiers by removing input features using generative models | AISC | 14 | |
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| 482. | Leveraging Language Models for Training Data Generation and Tool Learning | 14 | |
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| 483. | Identifying Influential Individuals in Complex Networks: An Overview | AISC | 14 | |
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| 484. | QSAR Model Explained | 15 | |
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| 485. | Machine Learning in Blockchain - Deep Random Talks - Episode 11 | 15 | |
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| 486. | Optimizing Large Language Models with Reinforcement Learning-Based Prompts | 15 | |
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| 487. | Overview of Synthetic Data and Simulations | AISC | 15 | |
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| 488. | Learning to Represent Programs with Graphs | TDLS | 15 | |
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| 489. | Speech synthesis from neural decoding of spoken sentences | AISC | 15 | |
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| 490. | Memory-Based Graph Networks | AISC | 15 | |
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| 491. | CNN Architectures for Large-Scale Audio Classification | AISC | 15 | |
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| 492. | Modern Knowledge Management in 2022 - Deep Random Talks S2E7 | 15 | |
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| 493. | Augmented Out-of-sample Comparison Method for Time Series Forecasting Techniques | AISC | 15 | |
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| 494. | Machine Learning for Cyber Security - Session 19 | 15 | |
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| 495. | PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 2) | AISC | 15 | |
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| 496. | Machine Learning Product Challenges on Aggregate Intellect | 15 | |
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| 497. | Learning Discrete Structures for Graph Neural Networks | AISC | 15 | |
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| 498. | A Literature Review on Deep Learning in Finance | AISC | 16 | Review |
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| 499. | Paper review - Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey | AISC | 16 | Review |
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| 500. | An algorithm for Bayesian optimization for categorical variables informed by physical intuition with | 16 | |
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