Zzong's Notes

최근 수정한 노트

전체 노트 1307개 중 최근 200개

7개

  1. nullspace
    linear_algebra/nullspace
  2. A Contextual-Bandit Approach to Personalized News Article Recommendation
    papers/bandit/A Contextual-Bandit Approach to Personalized News Article Recommendation
  3. Burst-induced Multi-Armed Bandit for Learning Recommendation
    papers/bandit/Burst-induced Multi-Armed Bandit for Learning Recommendation
  4. LinUCB
    recommendation_system/LinUCB
  5. permutation importance
    machine_learning/interpretability/permutation importance
  6. shapley additive explanations
    machine_learning/interpretability/shapley additive explanations
  7. LightGBM
    machine_learning/trees/LightGBM

29개

  1. RocksDB
    database/RocksDB
  2. Proximal Policy Optimization
    generative_ai/post_training/Proximal Policy Optimization
  3. deepspeed
    generative_ai/training/deepspeed
  4. Word2Vec
    machine_learning/NLP/Word2Vec
  5. Gradient Boosting Machine
    machine_learning/trees/Gradient Boosting Machine
  6. random forest
    machine_learning/trees/random forest
  7. Latent Dirichlet Allocation
    papers/collaborative_filtering/Latent Dirichlet Allocation
  8. LLM2Vec
    papers/retrieval/LLM2Vec
  9. MUVERA
    papers/retrieval/MUVERA
  10. Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
    papers/retrieval/Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
  11. WARP - An Efficient Engine for Multi-Vector Retrieval
    papers/retrieval/WARP - An Efficient Engine for Multi-Vector Retrieval
  12. m3-embedding
    papers/retrieval/m3-embedding
  13. Chamfer distance
    retrieval/concepts/Chamfer distance
  14. ColBERT
    retrieval/multi_vector/ColBERT
  15. Microservice Architecture
    server/Microservice Architecture
  16. 통계적 유의성 계산법
    statistic/통계적 유의성 계산법
  17. CTR prediction
    Ads/CTR prediction
  18. Finite State Transducer
    algorithms/Finite State Transducer
  19. probability calibration
    machine_learning/classification/probability calibration
  20. hard negative
    machine_learning/learning_paradigms/hard negative
  21. LambdaRank
    machine_learning/learning_to_rank/LambdaRank
  22. Learning-to-Rank
    machine_learning/learning_to_rank/Learning-to-Rank
  23. Gradient-based One-Side Sampling
    machine_learning/optimization/Gradient-based One-Side Sampling
  24. Entire Space Multi-Task Model - An Effective Approach for Estimating Post-Click Conversion Rate
    papers/advertisement/Entire Space Multi-Task Model - An Effective Approach for Estimating Post-Click Conversion Rate
  25. Bi-Encoder vs Cross-Encoder
    retrieval/concepts/Bi-Encoder vs Cross-Encoder
  26. Two-tower Model
    retrieval/dense/Two-tower Model
  27. Geo Search
    retrieval/search_engine/Geo Search
  28. Prefix Search
    retrieval/search_engine/Prefix Search
  29. Isotonic Regression
    machine_learning/classification/Isotonic Regression

1개

  1. Progressive Alignment of Recommender Foundation Model through Multi-Phase Post-Training
    papers/recommender_system/Progressive Alignment of Recommender Foundation Model through Multi-Phase Post-Training

1개

  1. Rotary Positional Embedding
    machine_learning/NLP/Rotary Positional Embedding

48개

  1. KV Cache
    generative_ai/inference/KV Cache
  2. Attention
    machine_learning/NLP/attention function
  3. hashing trick
    machine_learning/feature_engineering/hashing trick
  4. Exaone 3.0
    generative_ai/LLM/Exaone 3.0
  5. Large Language Model
    generative_ai/LLM/Large Language Model
  6. Llama
    generative_ai/LLM/Llama
  7. transformer
    machine_learning/NLP/transformer
  8. Attention Is All You Need
    papers/language_model/Attention Is All You Need
  9. Bidirectional Encoder Representations from Transformers
    papers/language_model/Bidirectional Encoder Representations from Transformers
  10. DialogLM
    papers/language_model/DialogLM
  11. A Survey on Deep Learning Based POI Recommendations
    papers/recommender_system/A Survey on Deep Learning Based POI Recommendations
  12. Critical Section
    OS/Critical Section
  13. cache
    OS/cache
  14. Mutex and Semaphore
    OS/mutex_and_semaphore
  15. Monte Carlo Method(RL)
    RL/Monte Carlo Method(RL)
  16. Graph Embedding
    graph/Graph Embedding
  17. PPR
    graph/PPR
  18. trace
    linear_algebra/trace
  19. Named Entity Recognition
    machine_learning/NLP/Named Entity Recognition
  20. backpropagation
    machine_learning/deep_learning/backpropagation
  21. dropout
    machine_learning/deep_learning/dropout
  22. logistic regression
    machine_learning/linear_models/logistic regression
  23. logistic loss
    machine_learning/loss/logistic loss
  24. loss function
    machine_learning/loss/loss function
  25. Pareto efficiency
    machine_learning/optimization/Pareto efficiency
  26. gradient descent
    machine_learning/optimization/gradient descent
  27. Vanishing and Exploding Gradients
    machine_learning/optimization/vanishing gradients
  28. UniERF - A Uniform Embedding-based Retrieval Framework for E-Commerce Search
    papers/advertisement/UniERF - A Uniform Embedding-based Retrieval Framework for E-Commerce Search
  29. Mortal Multi-Armed Bandits
    papers/bandit/Mortal Multi-Armed Bandits
  30. Neural Collaborative Filtering
    papers/collaborative_filtering/Neural Collaborative Filtering
  31. BEQUE - Large Language Model based Long-tail Query Rewriting in Taobao Search
    papers/e-commerce/BEQUE - Large Language Model based Long-tail Query Rewriting in Taobao Search
  32. GRAM - Generative Retrieval and Alignment Model
    papers/e-commerce/GRAM - Generative Retrieval and Alignment Model
  33. OneSearch - End-to-End Generative E-commerce Search
    papers/e-commerce/OneSearch - End-to-End Generative E-commerce Search
  34. Semantic Retrieval for Product Search in E-Commerce
    papers/e-commerce/Semantic Retrieval for Product Search in E-Commerce
  35. SEAL
    papers/retrieval/SEAL
  36. Python Thread
    python/Python Thread
  37. Retrieval Paper List
    retrieval/Retrieval Paper List
  38. Gaussian distribution
    statistic/Gaussian distribution
  39. BrowseComp
    generative_ai/agent/BrowseComp
  40. AB Test
    recommendation_system/AB Test
  41. τ-bench
    generative_ai/agent/tau-bench
  42. Probabilistic PCA
    machine_learning/dimensionality_reduction/Probabilistic PCA
  43. overfitting
    machine_learning/generalization/overfitting
  44. bagging
    machine_learning/trees/bagging
  45. Berkeley Function Calling Leaderboard (BFCL)
    generative_ai/agent/Berkeley Function Calling Leaderboard
  46. LLM 에이전트·도구 사용 벤치마크 비교
    generative_ai/agent/LLM Agent Benchmarks
  47. MT-Bench
    generative_ai/evaluation/MT-bench
  48. Ko-WideSearch - A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents
    papers/language_model/Ko-WideSearch - Korean Breadth-Search Benchmark

6개

  1. Evaluating Chunking Strategies for Retrieval
    papers/retrieval/Evaluating Chunking Strategies for Retrieval
  2. Jacobian matrix
    linear_algebra/Jacobian matrix
  3. DFS
    algorithms/DFS
  4. General Problems
    algorithms/problems/General Problems
  5. Permutations
    algorithms/problems/Permutations
  6. Generate Parentheses
    algorithms/problems/Generate Parentheses

3개

  1. REINFORCE
    RL/REINFORCE
  2. Jev와 RLCD
    generative_ai/LLM/Jev
  3. Brier loss
    machine_learning/loss/Brier loss

8개

  1. 분류 모델의 학습과 평가
    machine_learning/metrics/분류 모델의 학습과 평가
  2. cross-entropy
    machine_learning/loss/cross-entropy
  3. F1 Score
    machine_learning/metrics/F1 Score
  4. ROC Curve
    machine_learning/metrics/ROC Curve
  5. Recall
    machine_learning/metrics/Recall
  6. accuracy
    machine_learning/metrics/accuracy
  7. confusion matrix
    machine_learning/metrics/confusion matrix
  8. precision
    machine_learning/metrics/precision

65개

  1. Group Sequence Policy Optimization
    generative_ai/post_training/GSPO
  2. Frobenius norm
    linear_algebra/Frobenius norm
  3. L2 Loss
    linear_algebra/L2 Loss
  4. Kubernetes Node
    K8s/Kubernetes Node
  5. deployment(Kubernetes)
    K8s/deployment(Kubernetes)
  6. kubelet
    K8s/kubelet
  7. TFRecord
    data_engineering/TFRecord
  8. Key
    database/Key
  9. PyTorch-BigGraph
    graph/PyTorch-BigGraph
  10. ordinary least squares
    linear_algebra/ordinary least squares
  11. Recurrent Neural Network
    machine_learning/NLP/Recurrent Neural Network
  12. anomaly detection
    machine_learning/anomaly_detection/anomaly detection
  13. challenges of linear regression
    machine_learning/linear_models/challenges of linear regression
  14. Mahalanobis distance
    machine_learning/metrics/Mahalanobis distance
  15. Lagrange multiplier method
    machine_learning/optimization/Lagrange multiplier method
  16. Bias and Debias in Recommender System - A Survey and Future Directions
    papers/bias_fairness/Bias and Debias in Recommender System - A Survey and Future Directions
  17. Complex Embeddings for Simple Link Prediction
    papers/collaborative_filtering/Complex Embeddings for Simple Link Prediction
  18. Fast matrix factorization for online recommendation with implicit feedback
    papers/collaborative_filtering/Fast matrix factorization for online recommendation with implicit feedback
  19. On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
    papers/collaborative_filtering/On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
  20. Scalable Recommendation with Poisson Factorization
    papers/collaborative_filtering/Scalable Recommendation with Poisson Factorization
  21. The Why and How of Nonnegative Matrix Factorization
    papers/collaborative_filtering/The Why and How of Nonnegative Matrix Factorization
  22. Tutorial on Probablistic Latent Semantic Analysis
    papers/collaborative_filtering/Tutorial on Probablistic Latent Semantic Analysis
  23. Unbiased Offline Recommender Evaluation for Missing-Not-At-Random Implicit Feedback
    papers/evaluation/Unbiased Offline Recommender Evaluation for Missing-Not-At-Random Implicit Feedback
  24. Pessimistic Reward Models for Off-Policy Learning in Recommendation
    papers/rl/Pessimistic Reward Models for Off-Policy Learning in Recommendation
  25. matrix factorization
    recommendation_system/matrix factorization
  26. Bayesian inference
    statistic/Bayesian inference
  27. Beta distribution
    statistic/Beta distribution
  28. Dirichlet distribution
    statistic/Dirichlet distribution
  29. Gamma distribution
    statistic/Gamma distribution
  30. Gaussian Mixture Model
    statistic/Gaussian Mixture Model
  31. Gibbs Sampling
    statistic/Gibbs Sampling
  32. Poisson point process
    statistic/Poisson point process
  33. inverse tranform sampling
    statistic/inverse tranform sampling
  34. maximum a posteriori probability
    statistic/maximum a posteriori probability
  35. normalizing constant
    statistic/normalizing constant
  36. alignment tax
    generative_ai/post_training/alignment tax
  37. supervised fine-tuning
    generative_ai/post_training/supervised fine-tuning
  38. Interview Questions
    machine_learning/Interview Questions
  39. Latent Semantic Analysis
    machine_learning/NLP/Latent Semantic Analysis
  40. Pororo
    machine_learning/NLP/Pororo
  41. SentEval
    machine_learning/NLP/SentEval
  42. Naive Bayes
    machine_learning/classification/Naive Bayes
  43. Gaussian Error Linear Units
    machine_learning/deep_learning/Gaussian Error Linear Units
  44. layer normalization
    machine_learning/deep_learning/layer normalization
  45. Multilayer Perceptron
    machine_learning/deep_learning/multilayer perceptrons
  46. skip connection
    machine_learning/deep_learning/skip connection
  47. categorical feature
    machine_learning/feature_engineering/categorical feature
  48. elastic net
    machine_learning/linear_models/elastic net
  49. Area Under Curve
    machine_learning/metrics/Area Under Curve
  50. BFGS
    machine_learning/optimization/BFGS
  51. Newton-Raphson method
    machine_learning/optimization/Newton-Raphson method
  52. Extreme Gradient Boosting
    machine_learning/trees/Extreme Gradient Boosting
  53. ensemble
    machine_learning/trees/ensemble
  54. Laplace approximation
    math/Laplace approximation
  55. cosine similarity
    math/cosine similarity
  56. directional derivative
    math/directional derivative
  57. Chain of Hindsight Aligns Language Models with Feedback
    papers/language_model/Chain of Hindsight Aligns Language Models with Feedback
  58. collaborative filtering
    recommendation_system/collaborative filtering
  59. Maximum Likelihood Estimation
    statistic/Maximum Likelihood Estimation
  60. residual sum of squares
    statistic/residual sum of squares
  61. Decoupled Clip and Dynamic sAmpling Policy Optimization
    generative_ai/post_training/DAPO
  62. DPO
    generative_ai/post_training/DPO
  63. Group Relative Policy Optimization
    generative_ai/post_training/GRPO
  64. 자연스러운 한국어를 위한 LLM Post-Training
    generative_ai/post_training/LLM Post-Training for Natural Korean
  65. Importance Sampling
    statistic/importance sampling

32개

  1. DSR
    Ads/DSR
  2. Gross merchandise volume
    Ads/Gross merchandise volume
  3. Smart Media Representative
    Ads/Smart Media Representative
  4. display ad
    Ads/display ad
  5. eCPM
    Ads/eCPM
  6. pay-per-click
    Ads/pay-per-click
  7. real-time bidding
    Ads/real-time bidding
  8. supply side platform
    Ads/supply side platform
  9. Eigen
    C++/Eigen
  10. OpenMP
    C++/OpenMP
  11. Standard Template Library
    C++/Standard Template Library
  12. cmake
    C++/cmake
  13. data type of C++
    C++/data type of C++
  14. fabs
    C++/fabs
  15. fflush
    C++/fflush
  16. g++
    C++/g++
  17. header file
    C++/header file
  18. hpp
    C++/hpp
  19. macro
    C++/macro
  20. mt19937
    C++/mt19937
  21. namespace(C++)
    C++/namespace(C++)
  22. pointer
    C++/pointer
  23. reference(C++)
    C++/reference(C++)
  24. reinterpret_cast
    C++/reinterpret_cast
  25. stringstream(C++)
    C++/stringstream(C++)
  26. ConfigMap
    K8s/ConfigMap
  27. Ingress
    K8s/Ingress
  28. Kubernetes Master
    K8s/Kubernetes Master
  29. Kubernetes
    K8s/Kubernetes
  30. OpenEBS
    K8s/OpenEBS
  31. Persistent Volumes
    K8s/Persistent Volumes
  32. Stateful Pod와 Headless Service
    K8s/Stateful Pod와 Headless Service