| 401. | Near-optimal Evasion of Randomized Convex-inducing Classifiers in Adversarial Environments | AISC | 0 | |
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| 402. | A Web-scale system for scientific knowledge exploration | AISC | 0 | |
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| 403. | Content Tree Word Embedding for document representation | AISC | 0 | |
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| 404. | Machine Learning Methods for High Throughput Virtual Screening with a focus on Organic Photovoltaics | 0 | |
|
| 405. | MLOps: Flask Iris Model Serving, Session 2, part 1 | 0 | |
|
| 406. | TMLS2018 - Machine Learning in Production, Panel Discussion | 0 | Discussion |
|
| 407. | A Literature Review on Machine Learning in Materials Science | AISC | 0 | Review |
|
| 408. | MLOps: Common Serialization Approaches, Session 2, part 1 | 0 | |
|
| 409. | LLMs, Gen AI and Stakeholder Buy-in | 0 | |
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| 410. | We Can Measure XAI Explanations Better with Templates | AISC | 0 | |
|
| 411. | November 14, 2022 | 0 | |
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| 412. | Generative AI Tools and Adoption | 0 | |
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| 413. | RecSys, Reverse Engineering User's Needs and Desires | AISC | 0 | |
|
| 414. | Graph Neural Networks, Session 5: Graph Attention Networks | 0 | |
|
| 415. | Building ResearchLLM: automated statistical research and interpretation | 0 | |
|
| 416. | Artificial Intelligence, Ethics and Bias | AISC | 0 | |
|
| 417. | Machine Learning and Empathy - Deep Random Talks - Episode 16 | 0 | |
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| 418. | How Do You Validate LLM Systems Beyond Benchmarks? | 0 | |
|
| 419. | How goodness metrics lead to undesired recommendations | 0 | |
|
| 420. | Machine learning meets continuous flow chemistry: Automated process optimization | AISC | 0 | |
|
| 421. | Semi Supervised Learning - Session 5 | 0 | |
|
| 422. | Agora: Working Remotely with Ease | 0 | |
|
| 423. | Machine Learning for Weather Forecast - Deep Random Talks - Episode 15 | 0 | |
|
| 424. | How do you Force an LLM to Keep Track of the Assumptions a Document Makes? | 0 | |
|
| 425. | Flexible Neural Representation for Physics Prediction | AISC Trending Paper | 0 | |
|
| 426. | Conceptual understanding through efficient inverse-design of quantum optical experiments | AISC | 0 | |
|
| 427. | Modern Anomaly and Novelty Detection: Exercise - Session 25 | 0 | |
|
| 428. | Discovering Symbolic Inductive Biases | AISC | 0 | |
|
| 429. | Machine Learning for Cyber Security: Graph Theory - Session 12 | 0 | |
|
| 430. | Evaluating Job Exposure to Large Language Models | 0 | |
|
| 431. | LLM Products vs Traditional Digital Products | 0 | |
|
| 432. | BillionX acceleration using AI Emulators | AISC | 0 | |
|
| 433. | Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 8 | 0 | |
|
| 434. | Overview of Bias and Fairness in AI | 0 | |
|
| 435. | Reinforcement Learning: Q-Learning - Session 7 | 0 | |
|
| 436. | Empirical Rigor in ML | 0 | |
|
| 437. | LLMs and Business Workflows | 0 | |
|
| 438. | Detecting Customer Complaint Escalation w/ Recurrent Neural Networks & Manually-Engineered Features | 0 | |
|
| 439. | Graph Neural Networks, Session 3: Machine-Learning Tasks on Graphs | 0 | |
|
| 440. | A Literature Review on Deep Learning in Finance | AISC | 0 | Review |
|
| 441. | An algorithm for Bayesian optimization for categorical variables informed by physical intuition with | 0 | |
|
| 442. | Invest in Deep Tech like an Engineer - Deep Random Talks | 0 | |
|
| 443. | Reinforcement Learning: Reinforce Hands-on - Session 13 | 0 | |
|
| 444. | Prediction of Cardiac arrest from physiological signals in the pediatric ICU | TDLS Author Speaking | 0 | Vlog |
|
| 445. | Embeddings of weather forecast images for search and more | 0 | |
|
| 446. | [OpenAI] Solving Rubik's Cube with a Robot Hand | AISC | 0 | |
|
| 447. | Human-Technology Systems for Intelligent Civil Infrastructure Operation and Maintenance | AISC | 0 | Vlog |
|
| 448. | Azure MLops- MLPipeline_MNIST Hands-on- Session II, part 5 | 0 | |
|
| 449. | Reinforcement Learning: Rainbow Algorithm - Session 11 | 0 | |
|
| 450. | LLM Products for Regulated Industries | 0 | |
|
| 451. | Introducing AI BRIEFS | 0 | |
|
| 452. | SMOTE, Synthetic Minority Over-sampling Technique (discussions) | AISC Foundational | 0 | Discussion |
|
| 453. | New methods for identifying latent manifold structure from neural data | ASIC | 0 | |
|
| 454. | AI Product, Part 9: Long-term Validation | 0 | |
|
| 455. | MLOps: Packaging Overview, Session 1, part 5 | 0 | |
|
| 456. | Integrating LLMs into Your Product: Considerations and Best Practices | 0 | |
|
| 457. | Video Action Transformer Network | AISC | 0 | |
|
| 458. | [cnvrg.io] Operating System for Machine Learning | AISC | 0 | |
|
| 459. | The AI Design Sprint -- setting your AI Initiative up for delivery success! | AISC | 0 | |
|
| 460. | Machine Learning Product Competitions - Winners' Roundtable Discussion | 0 | Discussion |
|
| 461. | Machine Learning for Cyber Security- Introduction - Session 6 | 0 | |
|
| 462. | Speech synthesis from neural decoding of spoken sentences | AISC | 0 | |
|
| 463. | Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (discussions) | AISC | 0 | Discussion |
|
| 464. | Machine Learning in Cyber Security, Overview | AISC | 0 | |
|
| 465. | Locality Guided Neural Networks for Explainable AI | AISC | 0 | Guide |
|
| 466. | Reinforcement Learning: Q&A, Closing - Session 16 | 0 | |
|
| 467. | LabDAO - Decentralized Marketplace for Research in Life Sciences - DRT S2E11 | 0 | |
|
| 468. | Startup Pitch: Automating Data Extraction with AI | 0 | |
|
| 469. | Challenges and Solutions for LLMs in Production | 0 | |
|
| 470. | Machine Learning and Optimization - Deep Random Talks - Episode 17 | 0 | |
|
| 471. | Towards Amortized Ranking-Critical Training for Collaborative Filtering | AISC | 0 | |
|
| 472. | AI Product, Part 6: Product Team | 0 | |
|
| 473. | AI Product, Part 2: Frameworks | 0 | |
|
| 474. | Neural Search for Augmented Decision Making - Zeta Alpha - DRT S2E17 | 0 | Let's Play |
|
| 475. | Community-Driven Product Development - Deep Random Talk S2E3 | 0 | |
|
| 476. | Mathematics of Deep Learning: Convolutions- Session 6 | 0 | |
|
| 477. | SELFIES: A 100% robust representation of semantically constrained Graphs, for deep generative models | 0 | |
|
| 478. | AI Product, Part 3: Ideation | 0 | |
|
| 479. | Set Constrained Temporal Transformer for Set Supervised Action Segmentation | AISC | 0 | |
|
| 480. | Machine Learning and Future of Education - Deep Random Talks - Episode 14 | 0 | |
|
| 481. | Semi Supervised Learning - Session 7 | 0 | |
|
| 482. | Why Collaborative Models are the Future of AI in Agriculture | 0 | |
|
| 483. | DeepStack: Expert-Level Artificial Intelligence in Heads-Up No-Limit Poker | AISC | 0 | |
|
| 484. | Massive acceleration by using neural networks to emulate mechanism-based biological models | 0 | Vlog |
|
| 485. | [MEM] Learning Permutation Invariant Representations using Memory Networks | AISC | 0 | |
|
| 486. | Reinforcement Learning: Policy Gradients - Session 12 | 0 | |
|
| 487. | Machine Learning for Cyber Security - Session 4 | 0 | |
|
| 488. | The Importance of Strategy in AI Product Management | AISC | 0 | |
|
| 489. | TDLS: Learning Functional Causal Models with GANs - part 2 (results and discussion) | 0 | Discussion |
|
| 490. | Build and Deploy Machine Learning Models | MLOps Overview | 0 | |
|
| 491. | Inverse design of nanoporous crystalline reticular materials with deep generative models | AISC | 0 | |
|
| 492. | MultiTask Learning with NLP | 0 | Let's Play |
|
| 493. | Explainable AI, Session 2: Why Do We Need Machine Learning Explanations | 0 | |
|
| 494. | Bounded Rationality in Las Vegas: Probabilistic Finite Automata PlayMulti-Armed Bandits | AISC | 0 | |
|
| 495. | Agents Embedded in the Real World | 0 | |
|
| 496. | Science of science: Identifying Fundamental Drivers of Science | AISC | 0 | |
|
| 497. | A Literature Review on ML in Climate Science | AISC | 0 | Review |
|
| 498. | Overview of Synthetic Data and Simulations | AISC | 0 | |
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| 499. | Defining your AI Value Model for Product Success (and Profit) | AISC | 0 | |
|
| 500. | Founders in Fundraising, and AI Applications | 0 | |
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