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| HyperMARL: Adaptive Hypernetworks for Multi-Agent RL |
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| No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery |
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| Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects |
1 Apr 2024 |
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17 Mar 2024 |
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| VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark |
12 Mar 2024 |
X-PLUG/mPLUG-Owl/mPLUG-Owl/pipeline/utils.py a3aac05439340a66 |
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| CorresNeRF: Image Correspondence Priors for Neural Radiance Fields |
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yxlao/corres-nerf/src/tools/run_nerf.py 8d89f8aeefab46e3 |
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| Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation |
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liaozhanfeng/spiking-nerf/nerf_vth2.py fd57e365830d09de |
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| Transformers as Graph-to-Graph Models |
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idiap/g2g-transformer/parser/utils/data.py 58b4674a536cbdef |
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| ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields |
20 Oct 2023 |
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| UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model |
8 Oct 2023 |
lukeforeveryoung/ureader/pipeline/utils.py d05ffe7e5265888d |
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| EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers |
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beeevita/EvoPrompt/evoluter.py b330c6d185528db2 |
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| 2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds |
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| RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark |
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ai4co/rl4co/rl4co/utils/ops.py e899117c9df4359e |
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| NeMF: Inverse Volume Rendering with Neural Microflake Field |
3 Apr 2023 |
YoujiaZhang/NeMF/run_nerf.py ce716d3807564106 |
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| Differentiable Rendering with Reparameterized Volume Sampling |
21 Feb 2023 |
greatdrake/reparameterized-volume-sampling/nerf/run_nerf.py fd57e365830d09de |
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| IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis |
2 Oct 2022 |
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| Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields |
2022-09 (from id) |
mit-spark/loc-nerf/src/full_nerf_helpers.py fd57e365830d09de |
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| Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace |
11 Aug 2022 |
iclrsubmission1596/regularizing-deep-neural-networks-with-stochastic-estimators-of-hessian-trace/WT2/wt2_lstm.py c077f321f63362e6 |
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| A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks |
10 May 2022 |
mingruiliu-ml-lab/communication-efficient-local-gradient-clipping/nlp/main_lstm.py 9efb556e868426ed |
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| DFNet: Enhance Absolute Pose Regression with Direct Feature Matching |
1 Apr 2022 |
activevisionlab/dfnet/script/models/nerf.py fd57e365830d09de |
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| Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis |
18 Jan 2022 |
social-machines/tweebanknlp/twitter-stanza/stanza/models/charlm.py 61f19438f05e0d95 |
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| Instant Neural Graphics Primitives with a Multiresolution Hash Encoding |
16 Jan 2022 |
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| CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields |
9 Dec 2021 |
cassiePython/CLIPNeRF/supplyment/run_nerf_clip.py d2db52c47d9a9deb |
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| Dense Depth Priors for Neural Radiance Fields from Sparse Input Views |
6 Dec 2021 |
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| DialFact: A Benchmark for Fact-Checking in Dialogue |
15 Oct 2021 |
iit-nlp-research/chatgpt-crawler/fact_check.py cab069678b3d497a |
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| Curriculum learning for language modeling |
4 Aug 2021 |
spacemanidol/CurriculumLearningForLanguageModels/utils.py 1f32d831b2c4c04b |
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| Depth-supervised NeRF: Fewer Views and Faster Training for Free |
6 Jul 2021 |
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| Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks |
28 May 2021 |
fin-young/THEO_POULA/train_lstm.py 1f32d831b2c4c04b |
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| Neural RGB-D Surface Reconstruction |
9 Apr 2021 |
dazinovic/neural-rgbd-surface-reconstruction/optimize.py 11f60106fe3fe6b6 |
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| Neural RGB-D Surface Reconstruction |
9 Apr 2021 |
HengyiWang/neural-rgbd-torch/optimize.py e90e16ef8f5ca4a5 |
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MIT (permissive) |
| Direct-PoseNet: Absolute Pose Regression with Photometric Consistency |
8 Apr 2021 |
ActiveVisionLab/direct-posenet/script/run_nerf.py fd57e365830d09de |
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| NeRF--: Neural Radiance Fields Without Known Camera Parameters |
14 Feb 2021 |
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| Compositional Demographic Word Embeddings |
6 Oct 2020 |
salesforce/awd-lstm-lm/utils.py 6bd10c3dd56c2b8c |
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| Improved Analysis of Clipping Algorithms for Non-convex Optimization |
5 Oct 2020 |
zbh2047/clipping-algorithms/main_lstm.py 96d4db57e5c2248f |
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| CoLAKE: Contextualized Language and Knowledge Embedding |
1 Oct 2020 |
txsun1997/CoLAKE/lama/batch_eval_KB_completion.py 11b8618df0ea9846 |
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| Profile Consistency Identification for Open-domain Dialogue Agents |
21 Sep 2020 |
songhaoyu/KvPI/kvbert.py 53b9359ddf7fc172 |
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| Revisiting Pre-Trained Models for Chinese Natural Language Processing |
29 Apr 2020 |
ymcui/Chinese-PreTrained-XLNet/src/data_utils.py 8fa4efe75d3345a4 |
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| SongNet: Rigid Formats Controlled Text Generation |
17 Apr 2020 |
lipiji/SongNet/data.py 5b1381db92ce6ba5 |
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| NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis |
19 Mar 2020 |
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| NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis |
19 Mar 2020 |
bmild/nerf/run_nerf.py ce716d3807564106 |
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| Capacity of Continuous Channels with Memory via Directed Information Neural Estimator |
9 Mar 2020 |
omerlux/DINE/dine/utils.py 2943dadcb85e6e3c |
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| pyannote.audio: neural building blocks for speaker diarization |
4 Nov 2019 |
pyannote/pyannote-audio/src/pyannote/audio/pipelines/speaker_diarization.py aeda3b12a68db8ee |
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| Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents |
1 Nov 2019 |
jd-ai-research-silicon-valley/sae/dataset.py f02424fc99b0d00d |
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MIT (permissive) |
| Ordered Memory |
29 Oct 2019 |
yikangshen/Ordered-Memory/utils/utils.py 6bd10c3dd56c2b8c |
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MIT (permissive) |
| Code Generation as a Dual Task of Code Summarization |
14 Oct 2019 |
code-gen/cgcs/language_model/lm_train.py bbb1abc416d6331e |
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MIT (permissive) |
| Continual and Multi-Task Architecture Search |
12 Jun 2019 |
ramakanth-pasunuru/CAS-MAS/utils.py 6a9eb2feb0882395 |
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MIT (permissive) |
| Why gradient clipping accelerates training: A theoretical justification for adaptivity |
28 May 2019 |
JingzhaoZhang/why-clipping-accelerates/utils.py 6bd10c3dd56c2b8c |
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BSD-3-Clause (permissive) |
| Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering |
14 May 2019 |
rajarshd/Multi-Step-Reasoning/paragraph_encoder/model/vector.py df76adfce12ed67e |
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Apache-2.0 (permissive) |
| Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context |
9 Jan 2019 |
TimDettmers/transformer-xl/tf/data_utils.py 36eed0b265968be7 |
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Apache-2.0 (permissive) |
| Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks |
22 Oct 2018 |
IanTheColder/ONLSTM-analysis/utils.py 6bd10c3dd56c2b8c |
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| Trellis Networks for Sequence Modeling |
15 Oct 2018 |
locuslab/trellisnet/TrellisNet/word_PTB/utils.py 82c927821e8de854 |
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MIT (permissive) |
| Pyramidal Recurrent Unit for Language Modeling |
27 Aug 2018 |
sacmehta/PRU/utils.py 6bd10c3dd56c2b8c |
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MIT (permissive) |
| Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context |
12 May 2018 |
urvashik/lm-context-analysis/utils.py 6bd10c3dd56c2b8c |
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| Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model |
23 Apr 2018 |
sjmielke/spell-once/utils.py 4d7f0358b6e7da28 |
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| An Analysis of Neural Language Modeling at Multiple Scales |
22 Mar 2018 |
ari-holtzman/genlm/utils.py 1f32d831b2c4c04b |
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| An Analysis of Neural Language Modeling at Multiple Scales |
22 Mar 2018 |
SachinIchake/KALM/utils.py 6bd10c3dd56c2b8c |
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| An Analysis of Neural Language Modeling at Multiple Scales |
22 Mar 2018 |
ari-holtzman/genlm/utils.py 6696579704cf7e5b |
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| An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling |
4 Mar 2018 |
linxi159/TCN/TCN/lambada_language/utils.py 4697c6d353f07d76 |
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MIT (permissive) |
| Breaking the Softmax Bottleneck: A High-Rank RNN Language Model |
10 Nov 2017 |
yfreedomliTHU/mos-pytorch1.1/utils.py 2943dadcb85e6e3c |
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| Dilated Recurrent Neural Networks |
5 Oct 2017 |
zalandoresearch/pytorch-dilated-rnn/lm.py 70277a5008135fcc |
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| Regularizing and Optimizing LSTM Language Models |
7 Aug 2017 |
ahmetumutdurmus/awd-lstm/finetune.py 5edffb2dfb36c8c4 |
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| Show, Attend and Tell: Neural Image Caption Generation with Visual Attention |
10 Feb 2015 |
yurayli/image_caption_pytorch/encode_image.py a454bc2657b5d55b |
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MIT (permissive) |
| Machine learning of hierarchical clustering to segment 2D and 3D images |
25 Mar 2013 |
janelia-flyem/gala/gala/agglo.py 073e8929ea3ef730 |
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| arXiv:Zhan_NeRFrac_Neural_Radiance_Fields_through_Refractive_Surface_ICCV_2023_paper |
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Yifever20002/NeRFrac/run_nerfrac.py 8ac917923e924ada |
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| arXiv:2024.findings-emnlp.918 |
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CLMBRs/targeted-xlms/src/eval_finetune.py 11429523cb4e2aaf |
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| arXiv:2023.findings-emnlp.228 |
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victor7246/TransJect/language_modeling.py ff7d69d043a273af |
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| arXiv:2023.findings-emnlp.187 |
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LukeForeverYoung/UReader/pipeline/utils.py d05ffe7e5265888d |
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