Delete ArXiv-Tweets-from-AK.csv
Browse files- ArXiv-Tweets-from-AK.csv +0 -620
ArXiv-Tweets-from-AK.csv
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,id,tweet_text,paper_reference
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0,1546707909748342784,"High-resource Language-specific Training for Multilingual Neural Machine Translation
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abs: https://t.co/fYrwIPVpV2 https://t.co/b23EVZ6J5O",11
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1,1546669556789387264,"Exploring Length Generalization in Large Language Models
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abs: https://t.co/7Gphb7Q8jJ https://t.co/cCpLTSrXfR",17
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2,1546667351885729792,"LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
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abs:… https://t.co/lCk3P8KIwM",32
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3,1546665636734140417,"Scaling the Number of Tasks in Continual Learning
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abs: https://t.co/F4HxAxGUpI https://t.co/cyvXSBKthk",47
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4,1546707909748342784,"High-resource Language-specific Training for Multilingual Neural Machine Translation
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abs: https://t.co/fYrwIPVpV2 https://t.co/b23EVZ6J5O",11
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5,1546669556789387264,"Exploring Length Generalization in Large Language Models
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| 13 |
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abs: https://t.co/7Gphb7Q8jJ https://t.co/cCpLTSrXfR",17
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| 14 |
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6,1546667351885729792,"LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
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| 15 |
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abs:… https://t.co/lCk3P8KIwM",32
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7,1546665636734140417,"Scaling the Number of Tasks in Continual Learning
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abs: https://t.co/F4HxAxGUpI https://t.co/cyvXSBKthk",47
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8,1546379163803721729,"CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships
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abs: https://t.co/ozIrQ7gx68 https://t.co/gSGfnsZbji",53
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9,1546376106122567681,"The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
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a… https://t.co/TOPpVPQbM8",11
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10,1546375104262725632,"Code Translation with Compiler Representations
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abs: https://t.co/nTT3dmXH4c
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method improves upon the state of the… https://t.co/wD4SozbilN",127
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11,1546363822121820162,"End-to-End Binaural Speech Synthesis
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abs: https://t.co/tR86cSAjQO
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project page: https://t.co/nB1iSV68U2
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end-to-end… https://t.co/OTzfVZTFqb",58
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12,1545243820496936960,"Cross-Scale Vector Quantization for Scalable Neural Speech Coding
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abs: https://t.co/AbE9rP0ApQ https://t.co/pZXUTNipgs",25
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13,1545240373328592897,"Finding Fallen Objects Via Asynchronous Audio-Visual Integration
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abs: https://t.co/mv9Rvl0hFA
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project page:… https://t.co/N8l4zaP9bH",33
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14,1545228848391938048,"Back to the Source: Diffusion-Driven Test-Time Adaptation
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abs: https://t.co/5jmESOLQxG https://t.co/cI5UFyQI0B",82
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15,1544897525664169986,"When does Bias Transfer in Transfer Learning?
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abs: https://t.co/tf8FWyf8Ge https://t.co/0l6vy8RHXI",135
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16,1544865587343630342,"Transformers are Adaptable Task Planners
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abs: https://t.co/6lgFJD2Olt
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TTP can be pre-trained on multiple preferenc… https://t.co/XrolcxlV22",82
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17,1544853650316599299,"Ultra-Low-Bitrate Speech Coding with Pretrained Transformers
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abs: https://t.co/rYRe5N7Bqu https://t.co/zOsCY53r2s",34
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18,1544721641049145345,"CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations
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abs:… https://t.co/6ng3UArKdE",52
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19,1544521037274046464,"An Empirical Study of Implicit Regularization in Deep Offline RL
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abs: https://t.co/rCjHkQ2jwL https://t.co/8hJOsVA6D0",45
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20,1544519268234153984,"Offline RL Policies Should be Trained to be Adaptive
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abs: https://t.co/kC7TPSOTt2 https://t.co/Ox2D028P33",34
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21,1544491557293854721,"Efficient Representation Learning via Adaptive Context Pooling
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abs: https://t.co/zZzezhvbN7 https://t.co/xJoStGBSqp",163
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22,1544488616734429185,"CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
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abs:… https://t.co/HqXmDpaUEh",102
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23,1544485593991811072,"How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
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abs: https://t.co/RNXT4IRIaL https://t.co/uJGrEfgaAv",230
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24,1544483235542990856,"Neural Networks and the Chomsky Hierarchy
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abs: https://t.co/u6Jl2WvKMr
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sota architectures, such as LSTMs and Trans… https://t.co/DyHnH8Q8z7",209
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25,1544207617102331906,"GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion
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abs:… https://t.co/kFYdKhrhSA",19
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26,1544201186739458049,"Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
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abs:… https://t.co/yL9kWlUYfs",112
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27,1544193877053161480,"WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
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abs: https://t.co/8hZyMt90Rv
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pro… https://t.co/eHzGN2GHqj",52
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28,1544127293660037120,"UserLibri: A Dataset for ASR Personalization Using Only Text
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abs: https://t.co/0bug7OWU42 https://t.co/OMqJSGlqDx",9
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29,1543981460964708352,"LaserMix for Semi-Supervised LiDAR Semantic Segmentation
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abs: https://t.co/SvqHy1y7LI
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project page:… https://t.co/jbQtQiDbDy",74
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30,1543766808309669889,"Rethinking Optimization with Differentiable Simulation from a Global Perspective
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abs: https://t.co/trEcw4VZb2
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proje… https://t.co/1UsI0q03IL",94
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31,1543763117515182082,"Visual Pre-training for Navigation: What Can We Learn from Noise?
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abs: https://t.co/Rn5UGvvMMz
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github:… https://t.co/eKeMSlBxVx",134
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32,1543759817449390080,"DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
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abs:… https://t.co/IbF6IdUDj7",120
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33,1543757524356272134,"When Does Differentially Private Learning Not Suffer in High Dimensions?
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abs: https://t.co/yws7BhoBaP https://t.co/bD2Gz6B3GU",28
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34,1542740430084792320,"Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain
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abs:… https://t.co/3cNoOlr5SD",31
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35,1542713456268304384,"Denoised MDPs: Learning World Models Better Than the World Itself
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abs: https://t.co/CPwlF0soWZ
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project page:… https://t.co/5BBwGXYZ2l",98
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36,1542712192746782720,"Forecasting Future World Events with Neural Networks
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abs: https://t.co/tD8F0ZC1rC
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github: https://t.co/v8HZgye0ZH… https://t.co/eJaakYSUSw",77
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37,1542709853516431361,"Learning Iterative Reasoning through Energy Minimization
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abs: https://t.co/WDLx1hKPqG
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project page:… https://t.co/oDEClr0ho1",125
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38,1542709029964849154,"Improving the Generalization of Supervised Models
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abs: https://t.co/3CzEuuxvHt
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project page: https://t.co/uSjiKvSMN8 https://t.co/ffUkpTL7Ng",189
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39,1542325850036752394,"RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
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abs:… https://t.co/iFAou98U0X",172
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40,1542316111743664133,"Masked World Models for Visual Control
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abs: https://t.co/eZx53zuqnm
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project page: https://t.co/hgZwrV3zO5
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Can MAE… https://t.co/UfybFx81uj",83
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41,1542313347835731970,"Beyond neural scaling laws: beating power law scaling via data pruning
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abs: https://t.co/OFYkTt5b2d https://t.co/7SKXMClaR8",164
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42,1542312585768435712,"3D-Aware Video Generation
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abs: https://t.co/N64ARXFKMJ
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project page: https://t.co/5MoGVKqItn https://t.co/uZdLIXWc1P",122
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43,1541957148070010881,"DayDreamer: World Models for Physical Robot Learning
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abs: https://t.co/quyTQGcjEA
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project page:… https://t.co/DD67NUzgJy",182
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44,1541948699559006210,"Long Range Language Modeling via Gated State Spaces
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abs: https://t.co/HEd2lwlGan https://t.co/tPOHv7dP0T",124
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45,1541945827035332610,"ProGen2: Exploring the Boundaries of Protein Language Models
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abs: https://t.co/kelWMlhH8r
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github:… https://t.co/nzvei5pMJR",64
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46,1541626617490837504,"Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers
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abs: https://t.co/QZLcoFOeSz https://t.co/315WfiVVRr",11
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47,1541599748624351233,"Programmatic Concept Learning for Human Motion Description and Synthesis
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abs: https://t.co/uIoxGozwhD
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project page:… https://t.co/MmCMQouLF7",83
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48,1541592312094101506,"Prompting Decision Transformer for Few-Shot Policy Generalization
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abs: https://t.co/bD2f4SjRP6
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project page:… https://t.co/ZfAxxx6zCu",48
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49,1541590513241006080,"Repository-Level Prompt Generation for Large Language Models of Code
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abs: https://t.co/GG1YHoCQdf
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github:… https://t.co/Z9fUO4r8sU",56
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50,1541588372631818241,"Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One
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abs:… https://t.co/uJuKxO7XJC",121
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51,1541226747533922308,"PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
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abs: https://t.co/yXdFTqRWF3
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dataset… https://t.co/ZDNMPI2NVR",94
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52,1541219433259175937,"Megapixel Image Generation with Step-Unrolled Denoising Autoencoders
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abs: https://t.co/6fX9PseXBT
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obtain FID score… https://t.co/HPodJ8xzPx",147
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53,1540184734390706176,"Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
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abs: https://t.co/NO2vzfdYdS https://t.co/WoN73BzgeQ",66
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54,1540176838017916933,"Offline RL for Natural Language Generation with Implicit Language Q Learning
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abs: https://t.co/wYTtUgdryZ
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project p… https://t.co/xS8JCODxwP",43
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55,1540161095930880001,"MaskViT: Masked Visual Pre-Training for Video Prediction
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abs: https://t.co/uhMEB6ashb
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project page:… https://t.co/gbnxrCxUrc",147
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56,1540156319923060736,"The ArtBench Dataset: Benchmarking Generative Models with Artworks
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abs: https://t.co/Zzq0A2i5ob
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github:… https://t.co/SfQlvTLrk3",200
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57,1539811680359796739,"TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
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abs:… https://t.co/UArbr7zhRE",85
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58,1539794210190155778,"Jointist: Joint Learning for Multi-instrument Transcription and Its Applications
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abs: https://t.co/xeuPUBcr01
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proje… https://t.co/QmyCioKviJ",18
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59,1539780412297330689,"GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
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abs: https://t.co/pKS5mgoDkG
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GEMv2 supports 40 docum… https://t.co/qMitHzTlO0",18
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60,1539777865688010753,"reStructured Pre-training
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abs: https://t.co/mYm7qbt59N https://t.co/O5T3tSY4PL",32
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61,1539672920456298498,"Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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paper: https://t.co/NKkTeHttLd
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project page… https://t.co/CcKxsWPmjR",137
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62,1539480179151712256,"Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding
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abs: https://t.co/Bq3GUQywPV https://t.co/iLTaoXm0yC",66
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63,1539460213211910150,"EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
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abs: https://t.co/F4XkHLRxPi
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github:… https://t.co/JiwSuMdkZH",34
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64,1539459120667021312,"EpiGRAF: Rethinking training of 3D GANs
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abs: https://t.co/RcY2vQr0NH
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project page: https://t.co/kuXPKA00bZ https://t.co/CVCsseAS21",145
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65,1539453554578055168,"Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
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abs:… https://t.co/noluSxtqzu",72
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66,1539435374103220226,"Global Context Vision Transformers
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abs: https://t.co/d6go0yv7fu
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github: https://t.co/rUYFs09ReC
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On ImageNet-1K dat… https://t.co/HJnw5wclQV",89
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67,1539421251076247554,"(Certified!!) Adversarial Robustness for Free!
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abs: https://t.co/NTU6lioyII
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show how to achieve sota certified adv… https://t.co/2VW1CDARya",42
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68,1539076449788997632,"A Closer Look at Smoothness in Domain Adversarial Training
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abs: https://t.co/GgKE9695vj
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github:… https://t.co/33MX6TZhjt",97
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69,1538710356444471296,"Fast Finite Width Neural Tangent Kernel
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abs: https://t.co/iY1lFoYMjA https://t.co/hWzzcCd5OZ",23
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70,1538706936211951617,"What do navigation agents learn about their environment?
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abs: https://t.co/eXelV0REgZ
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github:… https://t.co/TGSzEQ1v1c",37
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71,1538698653493338114,"Bootstrapped Transformer for Offline Reinforcement Learning
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abs: https://t.co/YiEY3uiTgL https://t.co/yle4hPgMmf",137
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72,1538695457550921728,"Bridge-Tower: Building Bridges Between Encoders in Vision-Language Representation Learning
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abs:… https://t.co/uLQLmf4l3M",42
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73,1538692524830769152,"MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
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abs: https://t.co/etfGL1xnum
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project pa… https://t.co/Fv1aLuEJSV",265
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74,1538687423722541056,"Lossy Compression with Gaussian Diffusion
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abs: https://t.co/tw5YiZAN3B
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implement a proof of concept and find that… https://t.co/4nvLjhIX4e",102
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75,1538686489491648514,"NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
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abs: https://t.co/4S8sBXq6Ko
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a diffu… https://t.co/xd3eQ0ApQJ",87
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76,1538006265363738625,"iBoot: Image-bootstrapped Self-Supervised Video Representation Learning
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abs: https://t.co/dkZUd4QC81 https://t.co/pJFpxd7ckU",73
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77,1538000649933115393,"Neural Scene Representation for Locomotion on Structured Terrain
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abs: https://t.co/68xY622f4w https://t.co/W3wTYp31f6",83
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78,1537924151389736961,"Programmatic Concept Learning for Human Motion Description and Synthesis
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paper: https://t.co/Qemk23gUHX
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project pag… https://t.co/ImHeYQC5vj",60
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79,1537640654968324099,"Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
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abs: https://t.co/9tpvhXuaRw
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project page:… https://t.co/XxpZg5PGke",73
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80,1537637590274277376,"MoDi: Unconditional Motion Synthesis from Diverse Data
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abs: https://t.co/YBV9jSUemo https://t.co/o1uvG18RSk",70
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81,1537630146244517889,"OmniMAE: Single Model Masked Pretraining on Images and Videos
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abs: https://t.co/j9a3imUEJ6
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single pretrained model… https://t.co/OiR2pY5emm",146
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82,1537622879386456064,"SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
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abs: https://t.co/0MkpFJiUzM
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using spars… https://t.co/x1Hvgf13qE",54
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83,1537621348339572736,"BYOL-Explore: Exploration by Bootstrapped Prediction
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abs: https://t.co/xXQtolzjlP
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BYOL-Explore achieves superhuman… https://t.co/uZvAbVd1Bb",79
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84,1537618457365303296,"Know your audience: specializing grounded language models with the game of Dixit
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abs: https://t.co/T8d5ir8LDQ https://t.co/zSk5oR2F9D",39
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85,1537323042380124160,"VCT: A Video Compression Transformer
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abs: https://t.co/llH1L1ooKa
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presented an elegantly simple transformer-based… https://t.co/ErovCWVDg3",68
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86,1537314480056672258,"Contrastive Learning as Goal-Conditioned Reinforcement Learning
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abs: https://t.co/6dv7PNn0qq
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project page:… https://t.co/vRSdekL9If",77
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87,1537288570880368640,"Masked Siamese ConvNets
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abs: https://t.co/YMG1O1ZZ5N https://t.co/LCVqVvFNfR",83
|
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-
88,1537265816609116161,"Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
|
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-
abs: https://t.co/UgdYW9Cf1g
|
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-
project page:… https://t.co/v2sTfFBq5r",89
|
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-
89,1537257011657814016,"Variable Bitrate Neural Fields
|
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-
abs: https://t.co/Rp1t2LaQaW
|
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-
project page: https://t.co/e2t8OrznxI https://t.co/6hw7OwbjZN",162
|
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-
90,1537254679188488195,"A Unified Sequence Interface for Vision Tasks
|
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-
abs: https://t.co/hXbVXdqHh1
|
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-
|
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-
explore a unified sequence interface fo… https://t.co/QG5UxvIgS4",50
|
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-
91,1537252952666087424,"Prefix Language Models are Unified Modal Learners
|
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-
abs: https://t.co/BD4b3rQnKg https://t.co/2ofScnMIKN",66
|
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-
92,1537248480074293251,"Diffusion Models for Video Prediction and Infilling
|
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-
abs: https://t.co/MwfxwKXG4z
|
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-
project page:… https://t.co/rnwB8eGFAs",103
|
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-
93,1536879515883945984,"ReCo: Retrieve and Co-segment for Zero-shot Transfer
|
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-
abs: https://t.co/YwxkCGGyG1
|
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-
project page:… https://t.co/WzVhmfhWCz",58
|
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-
94,1536872875885580288,"Object Scene Representation Transformer
|
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-
abs: https://t.co/SUfNIBGAxt
|
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-
project page: https://t.co/j8ebSAeM8v
|
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-
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-
scales… https://t.co/wa4vo3RJAK",97
|
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-
95,1536871347372052480,"Adversarial Audio Synthesis with Complex-valued Polynomial Networks
|
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-
abs: https://t.co/ekeC0nKIhR
|
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-
|
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-
APOLLO results in… https://t.co/sDcl2nydkt",23
|
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-
96,1536526888289574915,"Large-Scale Retrieval for Reinforcement Learning
|
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-
abs: https://t.co/fjzGvI3ZXB https://t.co/eFRHt8yXoq",86
|
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-
97,1536522198785183744,"GLIPv2: Unifying Localization and Vision-Language Understanding
|
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-
abs: https://t.co/3GomrHG8xq
|
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-
github:… https://t.co/bD68NZk4Lp",73
|
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-
98,1536521362898145280,"Self-critiquing models for assisting human evaluators
|
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-
abs: https://t.co/8Zy2xfA5Qz https://t.co/qndZMS9zXa",19
|
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-
99,1536515535202136064,"Multi-instrument Music Synthesis with Spectrogram Diffusion
|
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-
abs: https://t.co/UNDV4e7A6R
|
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-
|
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-
use a simple two-stage pr… https://t.co/AebIraqLF2",87
|
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-
100,1536493418305703938,"How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
|
| 281 |
-
abs: https://t.co/qFEZBDrdrq https://t.co/iBlNs4iNE2",60
|
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-
101,1536491133513129990,"Meta Optimal Transport
|
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-
abs: https://t.co/UKdYXKA8Vd
|
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-
github: https://t.co/xb9FVcim7g
|
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-
|
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-
Meta OT models surpass the sta… https://t.co/OlfwZIC52r",67
|
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-
102,1535656084488192005,"Neural Prompt Search
|
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-
abs: https://t.co/wZTUHIcqdv
|
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-
github: https://t.co/vnYEMBrKzt
|
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-
|
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-
view existing parameter-efficien… https://t.co/pLvxNt84gV",174
|
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-
103,1535521674233319424,"Deep Surrogate Assisted Generation of Environments
|
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-
abs: https://t.co/1RYhxJ71tt
|
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-
project page:… https://t.co/5MuAOKIePA",58
|
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-
104,1535521046257975297,"Deep Hierarchical Planning from Pixels
|
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-
abs: https://t.co/xXBDevsRnK
|
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-
project page: https://t.co/LoNsGVecaR https://t.co/K7RKIq2hBT",101
|
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-
105,1535506620624642048,"VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
|
| 299 |
-
abs: https://t.co/OkS58YpYq8 https://t.co/ailLjhzsqa",144
|
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-
106,1535469100436271105,"Factuality Enhanced Language Models for Open-Ended Text Generation
|
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-
abs: https://t.co/YX83NnfpMU
|
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-
|
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-
factual-nucleus sa… https://t.co/suFGgO8Ajv",31
|
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-
107,1535449832332177408,"Unveiling Transformers with LEGO: a synthetic reasoning task
|
| 305 |
-
abs: https://t.co/FCnAD9AjMY https://t.co/LsUblvE3Ig",77
|
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-
108,1535392356068892674,"BigVGAN: A Universal Neural Vocoder with Large-Scale Training
|
| 307 |
-
abs: https://t.co/4NRS1WBePa
|
| 308 |
-
project page:… https://t.co/rpuKyOEGMH",170
|
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-
109,1535069067052195862,"Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
|
| 310 |
-
abs:… https://t.co/v2aIh9B5H2",158
|
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-
110,1535067850435600403,"Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
|
| 312 |
-
abs: https://t.co/0s94Tbwh3q
|
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-
|
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-
propose i… https://t.co/lQZWEHXeRI",52
|
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-
111,1535066703075352601,"VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
|
| 316 |
-
abs:… https://t.co/UKXo53aomf",146
|
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-
112,1535061799975919633,"Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
|
| 318 |
-
abs:… https://t.co/fUyM4hz22a",48
|
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-
113,1535026713100537871,"Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners
|
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-
abs: https://t.co/koYO5SuiDQ
|
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-
github:… https://t.co/1xMmVzboCC",70
|
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-
114,1534712305790894081,"STable: Table Generation Framework for Encoder-Decoder Models
|
| 323 |
-
abs: https://t.co/P8GcsztVFp https://t.co/lJnhODKXyn",32
|
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-
115,1534702470202630144,"Neural Diffusion Processes
|
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-
abs: https://t.co/do2pFgpRWY
|
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-
|
| 327 |
-
empirically show that NDPs are able to capture functional… https://t.co/Fx5BFrA9qQ",229
|
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-
116,1534701793183252485,"Patch-based Object-centric Transformers for Efficient Video Generation
|
| 329 |
-
abs: https://t.co/oeAa0hiBqZ
|
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-
project page:… https://t.co/qCoaulnDfS",30
|
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-
117,1534700653628764160,"Accelerating Score-based Generative Models for High-Resolution Image Synthesis
|
| 332 |
-
abs: https://t.co/rC90ydANVJ
|
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-
project… https://t.co/5reyDDPyBN",69
|
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-
118,1534476660355043329,"On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
|
| 335 |
-
abs: https://t.co/1gEuTB7Sf1
|
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-
|
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-
multi-task pre… https://t.co/zx8QDoxq2l",39
|
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-
119,1534465882512146432,"Few-Shot Learning by Dimensionality Reduction in Gradient Space
|
| 339 |
-
abs: https://t.co/IMwlsW0r5V
|
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-
|
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-
introduce SubGD, a no… https://t.co/YltxH8mUtF",204
|
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-
120,1534376291453083648,"DETR++: Taming Your Multi-Scale Detection Transformer
|
| 343 |
-
abs: https://t.co/kOQ5V4vC3C
|
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-
|
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-
DETR++, a new architecture that… https://t.co/i7qtSX9eA3",85
|
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-
121,1534347375128547328,"Intra-agent speech permits zero-shot task acquisition
|
| 347 |
-
abs: https://t.co/2yVGA91kSA
|
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-
|
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-
with ~ 150 additional image cap… https://t.co/DtBczvw7lh",60
|
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-
122,1534343347334176770,"Universal Speech Enhancement with Score-based Diffusion
|
| 351 |
-
abs: https://t.co/jv1rQ14Do4
|
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-
project page:… https://t.co/UMEE3irGWN",125
|
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-
123,1534341405920870400,"Generating Long Videos of Dynamic Scenes
|
| 354 |
-
abs: https://t.co/SjMCJub1RO
|
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-
project page: https://t.co/c97Jcf3lcC
|
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-
|
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-
presen… https://t.co/jgcfMwGMo6",336
|
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-
124,1533997063951765506,"Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
|
| 359 |
-
abs: https://t.co/iTfFppABzr
|
| 360 |
-
|
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-
method requires a sho… https://t.co/GALvAsiQ0J",89
|
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-
125,1533996337557020672,"Drawing out of Distribution with Neuro-Symbolic Generative Models
|
| 363 |
-
abs: https://t.co/PcRRRLIVyV
|
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-
|
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-
DooD trained on MNI… https://t.co/h28KgM3m3k",39
|
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-
126,1533993050627776512,"Separable Self-attention for Mobile Vision Transformers
|
| 367 |
-
abs: https://t.co/Xj1aZMucFe
|
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-
|
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-
With ~ 3M parameters, MobileV… https://t.co/LTag2ck7Ew",89
|
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-
127,1533989659017199617,"Extreme Compression for Pre-trained Transformers Made Simple and Efficient
|
| 371 |
-
abs: https://t.co/7epbwDmV31 https://t.co/n9nppcTgGJ",84
|
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-
128,1533988146102288386,"On the duality between contrastive and non-contrastive self-supervised learning
|
| 373 |
-
abs: https://t.co/O2GdHjqiTz https://t.co/nUibodNE9M",83
|
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-
129,1533982101653098503,"ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
|
| 375 |
-
abs:… https://t.co/tQuBWS3uaH",25
|
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-
130,1533980842867015681,"Torsional Diffusion for Molecular Conformer Generation
|
| 377 |
-
abs: https://t.co/VfhEdlJLd7
|
| 378 |
-
github: https://t.co/DYpXh7NbKe https://t.co/khz3yO5FFZ",24
|
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-
131,1533980437114232832,"Blended Latent Diffusion
|
| 380 |
-
abs: https://t.co/5K8QQnlQfz
|
| 381 |
-
project page: https://t.co/ztlJtR4Sio
|
| 382 |
-
|
| 383 |
-
present an accelerated… https://t.co/qzrdUJc4i9",55
|
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-
132,1533979552761913344,"Diffusion-GAN: Training GANs with Diffusion
|
| 385 |
-
abs: https://t.co/rxRpORfP5U
|
| 386 |
-
|
| 387 |
-
DiffusionGAN can provide stable and data-… https://t.co/ScQTvm3XaA",237
|
| 388 |
-
133,1533676404063232000,"Beyond Tabula Rasa: Reincarnating Reinforcement Learning
|
| 389 |
-
abs: https://t.co/r8TcfqPyIs https://t.co/qSO5K11vYB",34
|
| 390 |
-
134,1533649732345778177,"Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information
|
| 391 |
-
abs:… https://t.co/3mGwmSsO6M",17
|
| 392 |
-
135,1533634419986153472,"Positive Unlabeled Contrastive Learning
|
| 393 |
-
abs: https://t.co/LC33ii48Q6 https://t.co/eWLoasRamS",67
|
| 394 |
-
136,1533633258545610754,"Reinforcement Learning with Neural Radiance Fields
|
| 395 |
-
abs: https://t.co/8ESw75I2N9
|
| 396 |
-
project page:… https://t.co/DQrpZ5dyrb",131
|
| 397 |
-
137,1533619945996697600,"Compositional Visual Generation with Composable Diffusion Models
|
| 398 |
-
abs: https://t.co/FEKYaDOlwf
|
| 399 |
-
project page:… https://t.co/qvaTyuj3un",122
|
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-
138,1533611409069711368,"Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
|
| 401 |
-
abs:… https://t.co/rQTNT4yfcB",40
|
| 402 |
-
139,1532729442321170433,"Deep Learning on Implicit Neural Datasets
|
| 403 |
-
abs: https://t.co/nPGleDBRSq
|
| 404 |
-
|
| 405 |
-
introduce the INR-Net, the first general fr… https://t.co/i1xT7bLhSN",81
|
| 406 |
-
140,1532726423697465344,"SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
|
| 407 |
-
abs: https://t.co/SIR2ufE89J
|
| 408 |
-
github:… https://t.co/tZoNFvtDFQ",178
|
| 409 |
-
141,1532558380119752705,"DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
|
| 410 |
-
abs:… https://t.co/dHBUdpmqm9",31
|
| 411 |
-
142,1532554016072376323,"Cascaded Video Generation for Videos In-the-Wild
|
| 412 |
-
abs: https://t.co/wDkiRCEWXN https://t.co/GJSVK80qC0",57
|
| 413 |
-
143,1532547568567300096,"Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation
|
| 414 |
-
abs:… https://t.co/FAEEhSyQpY",12
|
| 415 |
-
144,1532540853071265799,"BayesFormer: Transformer with Uncertainty Estimation
|
| 416 |
-
abs: https://t.co/0OqGgau2D2
|
| 417 |
-
|
| 418 |
-
introduce BayesFormer, a Transfo… https://t.co/znYfXmUPpJ",188
|
| 419 |
-
145,1532539121662574605,"Improving Diffusion Models for Inverse Problems using Manifold Constraints
|
| 420 |
-
abs: https://t.co/Mt78QlNgZZ https://t.co/d6T7XFkqf1",115
|
| 421 |
-
146,1532538212438130697,"DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
|
| 422 |
-
abs:… https://t.co/PBn2cEeEle",93
|
| 423 |
-
147,1532201565167267840,"Hopular: Modern Hopfield Networks for Tabular Data
|
| 424 |
-
abs: https://t.co/O5h6GYoGZd
|
| 425 |
-
github: https://t.co/kztLUsmzMY
|
| 426 |
-
pro… https://t.co/xqlUFoil7K",485
|
| 427 |
-
148,1532173830428442627,"PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
|
| 428 |
-
abs: https://t.co/MdoshW31xe
|
| 429 |
-
gith… https://t.co/d0PWKpIufP",121
|
| 430 |
-
149,1532162242715721728,"Elucidating the Design Space of Diffusion-Based Generative Models
|
| 431 |
-
abs: https://t.co/WtodJSq1wa
|
| 432 |
-
|
| 433 |
-
improve efficiency… https://t.co/Fp84kzysBZ",257
|
| 434 |
-
150,1531810146178957312,"Chefs' Random Tables: Non-Trigonometric Random Features
|
| 435 |
-
abs: https://t.co/qrt5BnhG2g https://t.co/AuWq9HKnl5",19
|
| 436 |
-
151,1531802121280147457,"Few-Shot Diffusion Models
|
| 437 |
-
abs: https://t.co/Oz75eOx0Ue
|
| 438 |
-
|
| 439 |
-
At test time, the model is able to generate samples from pr… https://t.co/qw3Wdivfks",114
|
| 440 |
-
152,1531798720550952961,"SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
|
| 441 |
-
abs: https://t.co/eviBoaJ1Zw… https://t.co/XsdD2CSafR",148
|
| 442 |
-
153,1531484127177936896,"Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
|
| 443 |
-
abs:… https://t.co/yafGze7shH",36
|
| 444 |
-
154,1531466054492364800,"Dataset Condensation via Efficient Synthetic-Data Parameterization
|
| 445 |
-
abs: https://t.co/IA66WHQQCH
|
| 446 |
-
github:… https://t.co/PuBEVyx5EK",110
|
| 447 |
-
155,1531465172262567937,"Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors
|
| 448 |
-
abs: https://t.co/25EYR1yE1A
|
| 449 |
-
pro… https://t.co/qdqxXZtyYx",56
|
| 450 |
-
156,1531460153152786432,"Teaching Models to Express Their Uncertainty in Words
|
| 451 |
-
abs: https://t.co/rKcZNhBLt5
|
| 452 |
-
|
| 453 |
-
GPT-3 model can learn to expres… https://t.co/Z3YCzXqaMX",163
|
| 454 |
-
157,1531454478968406016,"Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
|
| 455 |
-
abs:… https://t.co/U47eMKEmf3",36
|
| 456 |
-
158,1531451492120535041,"Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
|
| 457 |
-
abs:… https://t.co/Ar0fNxMRi9",28
|
| 458 |
-
159,1531445364217237509,"Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models
|
| 459 |
-
abs: https://t.co/myWID3paI2 https://t.co/S0WUP71wz8",66
|
| 460 |
-
160,1531444059780308996,"Neural Volumetric Object Selection
|
| 461 |
-
abs: https://t.co/ZLiJ5iBZzQ
|
| 462 |
-
project page: https://t.co/YGsNO14XK7 https://t.co/4twrRcyExx",97
|
| 463 |
-
161,1531442002814025728,"Multi-Game Decision Transformers
|
| 464 |
-
abs: https://t.co/5JtgTx3B49
|
| 465 |
-
project page: https://t.co/rKk7h7wLga
|
| 466 |
-
|
| 467 |
-
a single trans… https://t.co/zcJXA5tDhR",105
|
| 468 |
-
162,1531440090161025024,"Diffusion-LM Improves Controllable Text Generation
|
| 469 |
-
abs: https://t.co/YYVX2fuWrM
|
| 470 |
-
|
| 471 |
-
Diffusion-LM iteratively denoises… https://t.co/1pJ5djHV9T",145
|
| 472 |
-
163,1531176037400338432,"MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control
|
| 473 |
-
abs: https://t.co/HpRvGT2UDz
|
| 474 |
-
project… https://t.co/6noxiVtz85",47
|
| 475 |
-
164,1531174102572191744,"Neural Basis Models for Interpretability
|
| 476 |
-
abs: https://t.co/u0G7oK87X4 https://t.co/ML7UCNPDkP",55
|
| 477 |
-
165,1531173694214656005,"Scalable Interpretability via Polynomials
|
| 478 |
-
abs: https://t.co/EKZDra09oM https://t.co/XyIoQHWftG",32
|
| 479 |
-
166,1531173081393336320,"Sharpness-Aware Training for Free
|
| 480 |
-
abs: https://t.co/R6SSrWAjL2 https://t.co/alHDGt3zQo",155
|
| 481 |
-
167,1531165352037691392,"Global Normalization for Streaming Speech Recognition in a Modular Framework
|
| 482 |
-
abs: https://t.co/OfIb7wiVkx
|
| 483 |
-
|
| 484 |
-
demonstr… https://t.co/0iVBVXVBBs",21
|
| 485 |
-
168,1531104909927628806,"Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
|
| 486 |
-
abs: https://t.co/gVXiOx5Df3 https://t.co/eufEJbHHRr",47
|
| 487 |
-
169,1531100741166833664,"FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
|
| 488 |
-
abs: https://t.co/3aHeecihur
|
| 489 |
-
|
| 490 |
-
an IO-awa… https://t.co/GoJsOKYEgt",233
|
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-
170,1531098962932944896,"Contrastive Siamese Network for Semi-supervised Speech Recognition
|
| 492 |
-
abs: https://t.co/SL374ByjZO
|
| 493 |
-
|
| 494 |
-
experiments show t… https://t.co/efVonWBQC5",71
|
| 495 |
-
171,1531096569365282816,"X-ViT: High Performance Linear Vision Transformer without Softmax
|
| 496 |
-
abs: https://t.co/A6HZ2vXKDB https://t.co/kArY0Tm4VE",120
|
| 497 |
-
172,1531093245308059650,"Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
|
| 498 |
-
|
| 499 |
-
transformer… https://t.co/OSLGlyUNqb",12
|
| 500 |
-
173,1531092289090736129,"Quark: Controllable Text Generation with Reinforced Unlearning
|
| 501 |
-
abs: https://t.co/OmS9AqhC7d
|
| 502 |
-
|
| 503 |
-
introduce Quantized Re… https://t.co/M4DHSUpwF3",144
|
| 504 |
-
174,1531091654567919616,"Training and Inference on Any-Order Autoregressive Models the Right Way
|
| 505 |
-
abs: https://t.co/G8DNeKtoJK
|
| 506 |
-
|
| 507 |
-
leads to impr… https://t.co/JjXafy7iAu",22
|
| 508 |
-
175,1531090584231890947,"Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
|
| 509 |
-
abs:… https://t.co/binMlc2scV",52
|
| 510 |
-
176,1531089687263293442,"Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
|
| 511 |
-
abs: https://t.co/U2YtYUURqH https://t.co/lw7hcspT7o",110
|
| 512 |
-
177,1531088458839740416,"Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters
|
| 513 |
-
a… https://t.co/e1H5ZyvcQg",20
|
| 514 |
-
178,1531086920461307906,"Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
|
| 515 |
-
abs:… https://t.co/7DWwix1kP1",81
|
| 516 |
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179,1531017163284393987,"CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
|
| 517 |
-
github: https://t.co/1JuOHU7puc https://t.co/Wilcq2Xxb9",1498
|
| 518 |
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180,1530278551676657665,"Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
|
| 519 |
-
abs: https://t.co/swtjYLryr5 https://t.co/Ny4wTtkaAI",31
|
| 520 |
-
181,1530029153101168645,"Towards Learning Universal Hyperparameter Optimizers with Transformers
|
| 521 |
-
abs: https://t.co/yON7zKZCRy
|
| 522 |
-
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-
extensive expe… https://t.co/UWv7nrCmhF",129
|
| 524 |
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182,1530028097692647449,"BiT: Robustly Binarized Multi-distilled Transformer
|
| 525 |
-
abs: https://t.co/buQ40Vo9ee https://t.co/Q8iyC2Auql",37
|
| 526 |
-
183,1530018008667660300,"Evaluating Multimodal Interactive Agents
|
| 527 |
-
abs: https://t.co/CtrOihrZBZ https://t.co/sThFVydSUZ",23
|
| 528 |
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184,1530013711645253632,"Matryoshka Representations for Adaptive Deployment
|
| 529 |
-
abs: https://t.co/KkqN7sxmnN
|
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-
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| 531 |
-
flexibility within the learned Mat… https://t.co/RYra48uEKN",69
|
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185,1530010193836244992,"Green Hierarchical Vision Transformer for Masked Image Modeling
|
| 533 |
-
abs: https://t.co/r4Y9LfE4HC
|
| 534 |
-
github:… https://t.co/o7ZihujhkM",26
|
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186,1529673576835698691,"Inception Transformer
|
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abs: https://t.co/EoPDBOafSS
|
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-
iFormer-S hits the top-1 accuracy of 83.4% on ImageNet-1K, much… https://t.co/24J3SnTBdm",117
|
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187,1529640184081534977,"FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
|
| 540 |
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abs: https://t.co/IABvUreqHv https://t.co/iUUzNPaPFp",30
|
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188,1529637573462831105,"Autoformalization with Large Language Models
|
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abs: https://t.co/SoGYXkMGhV
|
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-
methodology results in a new state-of-th… https://t.co/pTxpC00QFC",24
|
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189,1529630110885851136,"AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models
|
| 546 |
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abs: https://t.co/aD0daO7HEa
|
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By… https://t.co/NW3DbOJdwH",64
|
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190,1529625016471633920,"An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems
|
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abs:… https://t.co/gks4xeDd22",10
|
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191,1529341790335246336,"Policy Compliance Detection via Expression Tree Inference
|
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abs: https://t.co/Ic7Wm852Qz https://t.co/4RtEnug1RD",8
|
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192,1529309686318653441,"History Compression via Language Models in Reinforcement Learning
|
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abs: https://t.co/N1smkJUAW9 https://t.co/4v1an4CkTU",85
|
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193,1529303237572034560,"On the Role of Bidirectionality in Language Model Pre-Training
|
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abs: https://t.co/fG2SbUhB1W
|
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-
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-
propose a new framewor… https://t.co/Gc40i0zyeV",26
|
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194,1529301315221917699,"Large Language Models are Zero-Shot Reasoners
|
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abs: https://t.co/GgdLms77wF
|
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LLMs are decent zero-shot reasoners by… https://t.co/PTH6QpdSo2",85
|
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195,1529278657856000000,"Naive Few-Shot Learning: Sequence Consistency Evaluation
|
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abs: https://t.co/ySAzuujz2O https://t.co/aVVLHJdBUC",19
|
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196,1529075001256824834,"All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass
|
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-
abs:… https://t.co/fcPGWaFEk5",12
|
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197,1529071850860453888,"StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
|
| 568 |
-
abs:… https://t.co/MDT1Bxw9by",20
|
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198,1528909940324192256,"Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
|
| 570 |
-
abs:… https://t.co/B65LGrnCLg",38
|
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199,1528907841335066625,"Flexible Diffusion Modeling of Long Videos
|
| 572 |
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abs: https://t.co/Cx1BUqA7zM
|
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-
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| 574 |
-
demonstrate improved video modeling over p… https://t.co/Y15RoaMAFg",84
|
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200,1528904484553900034,"Scaling Laws and Interpretability of Learning from Repeated Data
|
| 576 |
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abs: https://t.co/UbSQazzMwa
|
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-
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| 578 |
-
performance of 800M… https://t.co/4HHdSCe8ZT",46
|
| 579 |
-
201,1528851863306752000,"Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
|
| 580 |
-
project page:… https://t.co/5yJZQIqMdn",2724
|
| 581 |
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202,1528584642407841792,"Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning
|
| 582 |
-
abs: https://t.co/rE7gjT0COx https://t.co/EtbaT2jTle",116
|
| 583 |
-
203,1528576691152494592,"Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
|
| 584 |
-
abs: https://t.co/bXqr4sP1V4
|
| 585 |
-
github:… https://t.co/efonU0Az1m",59
|
| 586 |
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204,1528569396456828929,"Why GANs are overkill for NLP
|
| 587 |
-
abs: https://t.co/zwjCFxh22z https://t.co/tuM1ufFC7x",139
|
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-
205,1528555058916429828,"Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
|
| 589 |
-
abs: https://t.co/7bmGFXe47E
|
| 590 |
-
github:… https://t.co/bXfTVfP56t",48
|
| 591 |
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206,1528541664561844229,"Planning with Diffusion for Flexible Behavior Synthesis
|
| 592 |
-
abs: https://t.co/HSoQhC6WBV
|
| 593 |
-
project page:… https://t.co/PA69vLOYmb",119
|
| 594 |
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207,1527765335528591361,"Disentangling Visual Embeddings for Attributes and Objects
|
| 595 |
-
abs: https://t.co/QlDsekM1rH https://t.co/YfsJGNzjlX",253
|
| 596 |
-
208,1527452603264733184,"RankGen: Improving Text Generation with Large Ranking Models
|
| 597 |
-
abs: https://t.co/uVVfXNnZeR
|
| 598 |
-
github:… https://t.co/GfRxgf4hKe",37
|
| 599 |
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209,1527450826343604233,"Robust and Efficient Medical Imaging with Self-Supervision
|
| 600 |
-
abs: https://t.co/oBqk2TTp73
|
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-
|
| 602 |
-
strategy leads to strong d… https://t.co/ptwGGG2NkL",45
|
| 603 |
-
210,1527097137825202177,"Masked Autoencoders As Spatiotemporal Learners
|
| 604 |
-
abs: https://t.co/MWlK2uV6qF
|
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-
|
| 606 |
-
MAE method can learn strong representa… https://t.co/KX2kb7Zf0m",288
|
| 607 |
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211,1527092033374113795,"Meta-Learning Sparse Compression Networks
|
| 608 |
-
abs: https://t.co/pDKyAXyGmg https://t.co/ExJQyGQefn",34
|
| 609 |
-
212,1526825242026512385,"An Empirical Investigation of Representation Learning for Imitation
|
| 610 |
-
abs: https://t.co/P6C15OJ0ft https://t.co/C0PcBJ72kH",40
|
| 611 |
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213,1526798231191048192,"Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
|
| 612 |
-
abs: https://t.co/kKjj0oKSyE https://t.co/bk1DPxlwZ9",49
|
| 613 |
-
214,1526738002621472768,"SKILL: Structured Knowledge Infusion for Large Language Models
|
| 614 |
-
abs: https://t.co/vbExGmg4hx https://t.co/3hVTWxLVE1",46
|
| 615 |
-
215,1526435187093123072,"FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
|
| 616 |
-
abs:… https://t.co/qG4s6MlGmd",46
|
| 617 |
-
216,1526428632868167682,"PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning
|
| 618 |
-
abs: https://t.co/JTAU1vnmst https://t.co/fyonWO1rKa",45
|
| 619 |
-
217,1526373200183033857,"Diffusion Models for Adversarial Purification
|
| 620 |
-
abs: https://t.co/VdSXsTahOY https://t.co/lFxumNcuIj",135
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