NDCG-Consistent Softmax Approximation with Accelerated Convergence | Paper Citation Record

Observation 3160ebea-8b0f-4aa7-ac1f-ada4390a1565 · outbound

This paper cites Backpropagation and stochastic gradient descent method.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Backpropagation and stochastic gradient descent method

Reference 1

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This paper cites Neural network learning: Theoretical foundations, volume 9.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Neural network learning: Theoretical foundations, volume 9

Reference 2

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This paper cites H-consistency bounds for surrogate loss minimizers.

NDCG-Consistent Softmax Approximation with Accelerated Convergence H-consistency bounds for surrogate loss minimizers

Reference 3

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This paper cites Multi-class h -consistency bounds.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Multi-class h -consistency bounds

Reference 4

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Observation c7bb3c6d-9b1e-4ed2-9006-44ac5562d16a · outbound

This paper cites Convexity, classification, and risk bounds.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Convexity, classification, and risk bounds

Reference 5

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This paper cites A generic coordinate descent framework for learning from implicit feedback.

NDCG-Consistent Softmax Approximation with Accelerated Convergence A generic coordinate descent framework for learning from implicit feedback

Reference 6

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Observation cfd45e77-f07c-45c5-ae39-34a737eaf8b0 · outbound

This paper cites Adaptive importance sampling to accelerate training of a neural probabilistic language model.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Adaptive importance sampling to accelerate training of a neural probabilistic language model

Reference 7

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This paper cites Optimization methods for large-scale machine learning.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Optimization methods for large-scale machine learning

Reference 8

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Observation 02eca49b-e72c-4654-844a-90f1be2a709c · outbound

This paper cites An alternative cross entropy loss for learning-to-rank.

NDCG-Consistent Softmax Approximation with Accelerated Convergence An alternative cross entropy loss for learning-to-rank

Reference 9

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Observation 1c4de5bc-d7ad-4d78-87ca-d45c10d737c5 · outbound

This paper cites An analysis of the softmax cross entropy loss for learning-to-rank with binary relevance.

NDCG-Consistent Softmax Approximation with Accelerated Convergence An analysis of the softmax cross entropy loss for learning-to-rank with binary relevance

Reference 10

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Observation 67d0b50e-f454-4b70-89ac-306fae0d6fdb · outbound

This paper cites an unresolved cited work.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Unresolved cited work

Reference 11

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Observation 27571e37-225b-429d-bfae-9c94f00ae1c8 · outbound

This paper cites Efficient neural matrix factorization without sampling for recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Efficient neural matrix factorization without sampling for recommendation

Reference 12

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Observation 24127b06-2b6a-4765-a8b8-21b693748aa6 · outbound

This paper cites Revisiting negative sampling vs.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Revisiting negative sampling vs

Reference 13

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Observation 7bb4d9ab-8c3a-4db2-9121-b0100096553f · outbound

This paper cites A simple framework for contrastive learning of visual representations.

NDCG-Consistent Softmax Approximation with Accelerated Convergence A simple framework for contrastive learning of visual representations

Reference 14

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Observation 9b611527-ba73-4c3d-80f4-bbd4f6bd591b · outbound

This paper cites Learning a similarity metric discriminatively, with application to face verification.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning a similarity metric discriminatively, with application to face verification

Reference 15

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Observation 939bae9b-e9f3-46a7-97c1-aafef3629ec0 · outbound

This paper cites Subset ranking using regression.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Subset ranking using regression

Reference 16

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Observation 9625d872-a865-4fdb-8397-f013e7b97722 · outbound

This paper cites Deep neural networks for youtube recommendations.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Deep neural networks for youtube recommendations

Reference 17

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Observation 04e87692-ff7d-4ebd-ab33-38d66461f79e · outbound

This paper cites Saga: A fast incremental gradient method with support for non-strongly convex composite objectives.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Saga: A fast incremental gradient method with support for non-strongly convex composite objectives

Reference 18

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Observation 76f6fa71-dbce-4ec7-9ec4-c14b5f318332 · outbound

This paper cites Inexact newton methods.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Inexact newton methods

Reference 19

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Observation d714b942-c998-453f-98ab-102a4c8064a4 · outbound

This paper cites Simcse: Simple contrastive learning of sentence embeddings.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Simcse: Simple contrastive learning of sentence embeddings

Reference 20

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Observation 66f88946-54f7-4521-a504-659967a9e2ad · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Stochastic first-and zeroth-order methods for nonconvex stochastic programming

Reference 21

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Observation b9747256-cc9c-42f7-9df1-47408f34306a · outbound

This paper cites Noise-contrastive estimation: A new estimation principle for unnormalized statistical models.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Noise-contrastive estimation: A new estimation principle for unnormalized statistical models

Reference 22

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Observation 52b8a3cd-3095-4ee4-8d66-f1f701a81fc1 · outbound

This paper cites Neural collaborative filtering.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Neural collaborative filtering

Reference 23

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Observation dbc573b1-4a72-4494-a7b7-8bf6ee818b41 · outbound

This paper cites Collaborative filtering for implicit feedback datasets.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Collaborative filtering for implicit feedback datasets

Reference 24

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Observation 03ae01ae-65cd-4698-b41e-0cd2c56ae6d8 · outbound

This paper cites Cooperative retriever and ranker in deep recommenders.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Cooperative retriever and ranker in deep recommenders

Reference 25

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Observation 45a41acb-dee5-4570-a1e0-4133f8b19ef8 · outbound

This paper cites an unresolved cited work.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Unresolved cited work

Reference 26

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Observation c17ed38a-45e3-40fd-99de-d96a2db38cf6 · outbound

This paper cites Non-convex optimization for machine learning.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Non-convex optimization for machine learning

Reference 27

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Observation 2fe96b6a-535c-4c0f-87c5-284a012dadd7 · outbound

This paper cites Accelerating stochastic gradient descent using predictive variance reduction.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Accelerating stochastic gradient descent using predictive variance reduction

Reference 28

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Observation c33585c2-2a32-4fc7-81bf-dd9ffecab00e · outbound

This paper cites Self-attentive sequential recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Self-attentive sequential recommendation

Reference 29

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Observation b60b0683-d348-43d1-add1-d569b58bf176 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Adam: A Method for Stochastic Optimization

Reference 30

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Observation 350c3f2c-d307-4d56-aade-335be60c8b82 · outbound

This paper cites Factorization meets the neighborhood: a multifaceted collaborative filtering model.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Factorization meets the neighborhood: a multifaceted collaborative filtering model

Reference 31

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This paper cites Matrix factorization techniques for recommender systems.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Matrix factorization techniques for recommender systems

Reference 32

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This paper cites Efficient training on very large corpora via gramian estimation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Efficient training on very large corpora via gramian estimation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.323545Z

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Observation f3776451-64c2-4ade-8322-01f026453468 · outbound

This paper cites Symmetric metric learning with adaptive margin for recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Symmetric metric learning with adaptive margin for recommendation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.306816Z

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Observation 1c56f34f-824e-4dba-96b8-5cdde1ab44c3 · outbound

This paper cites Geomf: joint geographical modeling and matrix factorization for point-of-interest recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Geomf: joint geographical modeling and matrix factorization for point-of-interest recommendation

Reference 35

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Observation 95df80e9-315f-44dd-9911-15254cc93dec · outbound

This paper cites Recstudio: Towards a highly-modularized recommender system.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Recstudio: Towards a highly-modularized recommender system

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.275471Z

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Observation e8e70786-9961-4ec0-a77d-48f767d42c78 · outbound

This paper cites Variational autoencoders for collaborative filtering.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Variational autoencoders for collaborative filtering

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.259234Z

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Observation 70f453b8-44d6-4568-8444-60abe961e5f6 · outbound

This paper cites Consistency versus realizable h-consistency for multiclass classification.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Consistency versus realizable h-consistency for multiclass classification

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.243582Z

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Observation ef30345b-4d93-4bd3-af60-79ad5fe98d0d · outbound

This paper cites Support and centrality: Learning weights for knowledge graph embedding models.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Support and centrality: Learning weights for knowledge graph embedding models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.229160Z

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Observation bb17965d-713e-4744-852a-531cf8f4ae48 · outbound

This paper cites From softmax to sparsemax: A sparse model of attention and multi-label classification.

NDCG-Consistent Softmax Approximation with Accelerated Convergence From softmax to sparsemax: A sparse model of attention and multi-label classification

Reference 40

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Observation 12e2bb4e-5cf4-4154-b5e8-9f0972d51584 · outbound

This paper cites Multilabel reductions: what is my loss optimising? Advances in Neural Information Processing Systems, 32, 2019.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Multilabel reductions: what is my loss optimising? Advances in Neural Information Processing Systems, 32, 2019

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.205300Z

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Observation f533cee1-d961-4335-a09c-cc60841b5d12 · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Distributed representations of words and phrases and their compositionality

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.189331Z

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Observation 036deacc-f139-44d7-b373-3c0dd593dc02 · outbound

This paper cites Learning-efficient yet generalizable collaborative filtering for item recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning-efficient yet generalizable collaborative filtering for item recommendation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.173832Z

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Observation 50ba1791-2fb1-4ad3-abd5-7d89bf862c02 · outbound

This paper cites On ndcg consistency of listwise ranking methods.

NDCG-Consistent Softmax Approximation with Accelerated Convergence On ndcg consistency of listwise ranking methods

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.159468Z

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Observation e908128f-3b94-4555-87d2-235581acfdf4 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks with contrastive loss.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Sentence-bert: Sentence embeddings using siamese bert-networks with contrastive loss

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.145412Z

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Observation e7e6e5a9-8983-4d7e-b4b1-f3dcb0d9bfd9 · outbound

This paper cites Item recommendation from implicit feedback.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Item recommendation from implicit feedback

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.131460Z

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Observation 79732c2e-5846-4954-8bbf-e46ca9f79cb4 · outbound

This paper cites Improving pairwise learning for item recommendation from implicit feedback.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Improving pairwise learning for item recommendation from implicit feedback

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.118263Z

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Observation 45c533a9-fbf1-4161-aa0a-0c068326dffb · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

NDCG-Consistent Softmax Approximation with Accelerated Convergence BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:48.654171Z

Source-reported events for the cited work

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Observation 7bfa7bb4-e6b1-4006-9e7c-04d86012460b · outbound

This paper cites Revisiting the performance of ials on item recommendation benchmarks.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Revisiting the performance of ials on item recommendation benchmarks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.102985Z

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Observation 034a9f82-7bca-4c53-be7d-c69d17555e18 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Facenet: A unified embedding for face recognition and clustering

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.088731Z

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Observation fef56c95-6042-48ab-921a-9241bb1e2a81 · outbound

This paper cites Bridgland.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Bridgland

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.074912Z

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Observation 800e9820-177d-4c4b-8410-a0c7d8f5ed5a · outbound

This paper cites Learning semantic representations using convolutional neural networks for web search.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning semantic representations using convolutional neural networks for web search

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.060352Z

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Observation 2ce3b229-7e33-4532-b12e-6b8b7efecfc7 · outbound

This paper cites Generalization error bounds for collaborative prediction with low-rank matrices.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Generalization error bounds for collaborative prediction with low-rank matrices

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.045660Z

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Observation 9b2c7e39-2f84-421b-842d-e56e2c1eb86b · outbound

This paper cites Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.030772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cfd828f5-0f0c-429a-84e7-6fd7f6bf0f2d · outbound

This paper cites Alternating least squares for personalized ranking.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Alternating least squares for personalized ranking

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.016395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4962b81-b45c-4078-99f2-6a14f3ee0b40 · outbound

This paper cites On the consistency of multiclass classification methods.

NDCG-Consistent Softmax Approximation with Accelerated Convergence On the consistency of multiclass classification methods

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:49.001681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0fa5b2c5-3f51-48a6-bd42-bd0b02239b7a · outbound

This paper cites Learning fine-grained image similarity with deep ranking.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning fine-grained image similarity with deep ranking

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.986724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 35279c48-8871-4ad7-8e27-cd676676e507 · outbound

This paper cites Wsabie: Scaling up to large vocabulary image annotation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Wsabie: Scaling up to large vocabulary image annotation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.969418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb545d1a-9bb4-4bfb-956f-68e674841780 · outbound

This paper cites On the Effectiveness of Sampled Softmax Loss for Item Recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence On the Effectiveness of Sampled Softmax Loss for Item Recommendation

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:57:48.804669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0737551-eb9c-4997-9b7c-d16f146db804 · outbound

This paper cites A no-regret generalization of hierarchical softmax to extreme multi-label classification.

NDCG-Consistent Softmax Approximation with Accelerated Convergence A no-regret generalization of hierarchical softmax to extreme multi-label classification

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.952560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 036f96ec-a480-4ce9-b1ca-d8e8a97e36d2 · outbound

This paper cites Batch is not heavy: Learning word representations from all samples.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Batch is not heavy: Learning word representations from all samples

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.937574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e55c27a-6ee6-420b-b30d-f0ffe8b4a212 · outbound

This paper cites On the consistency of top-k surrogate losses.

NDCG-Consistent Softmax Approximation with Accelerated Convergence On the consistency of top-k surrogate losses

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.920603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17228924-a864-4575-bbb6-9ac765556d0f · outbound

This paper cites Sampling-bias-corrected neural modeling for large corpus item recommendations.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Sampling-bias-corrected neural modeling for large corpus item recommendations

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.905222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da42db03-c37a-4aa4-91a8-d5a192d05bab · outbound

This paper cites Statistical behavior and consistency of classification methods based on convex risk minimization.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Statistical behavior and consistency of classification methods based on convex risk minimization

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.890328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f22ebfbe-ff60-41c5-bd34-f7c40b0bcb2d · outbound

This paper cites Optimizing top-n collaborative filtering via dynamic negative item sampling.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Optimizing top-n collaborative filtering via dynamic negative item sampling

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.874129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f2be40e-2cb7-4ade-aca5-3e1a26e5154a · outbound

This paper cites Learning explicit user interest boundary for recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning explicit user interest boundary for recommendation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:57:48.858389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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