A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | |
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1 | title | url | avg_rating | ratings | avg_confidence | confidences | ||||||||||||||||||||
2 | On the Optimal Memorization Power of ReLU Neural Networks | https://openreview.net/forum?id=MkTPtnjeYTV | 8 | [8.0, 8.0, 8.0] | 4.67 | [5.0, 5.0, 4.0] | ||||||||||||||||||||
3 | Score-Based Generative Modeling with Critically-Damped Langevin Diffusion | https://openreview.net/forum?id=CzceR82CYc | 8 | [6.0, 8.0, 10.0, 8.0] | 4 | [4.0, 4.0, 5.0, 3.0] | ||||||||||||||||||||
4 | MT3: Multi-Task Multitrack Music Transcription | https://openreview.net/forum?id=iMSjopcOn0p | 8 | [8.0, 8.0, 8.0, 8.0] | 4 | [4.0, 3.0, 5.0, 4.0] | ||||||||||||||||||||
5 | MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling | https://openreview.net/forum?id=UseMOjWENv | 8 | [8.0, 8.0, 8.0] | 4 | [5.0, 3.0, 4.0] | ||||||||||||||||||||
6 | Finetuned Language Models are Zero-Shot Learners | https://openreview.net/forum?id=gEZrGCozdqR | 8 | [8.0, 8.0, 8.0, 8.0] | 4 | [4.0, 4.0, 3.0, 5.0] | ||||||||||||||||||||
7 | Towards a Unified View of Parameter-Efficient Transfer Learning | https://openreview.net/forum?id=0RDcd5Axok | 8 | [10.0, 8.0, 6.0] | 4 | [5.0, 3.0, 4.0] | ||||||||||||||||||||
8 | Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond | https://openreview.net/forum?id=LdlwbBP2mlq | 8 | [8.0, 8.0, 8.0] | 4 | [4.0, 4.0, 4.0] | ||||||||||||||||||||
9 | TAPEX: Table Pre-training via Learning a Neural SQL Executor | https://openreview.net/forum?id=O50443AsCP | 8 | [8.0, 8.0, 8.0] | 4 | [3.0, 5.0, 4.0] | ||||||||||||||||||||
10 | Neural Deep Equilibrium Solvers | https://openreview.net/forum?id=B0oHOwT5ENL | 8 | [8.0, 8.0, 8.0] | 4 | [4.0, 4.0, 4.0] | ||||||||||||||||||||
11 | What Happens after SGD Reaches Zero Loss? --A Mathematical Framework | https://openreview.net/forum?id=siCt4xZn5Ve | 8 | [8.0, 6.0, 8.0, 10.0] | 3.75 | [4.0, 3.0, 3.0, 5.0] | ||||||||||||||||||||
12 | Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design | https://openreview.net/forum?id=LI2bhrE_2A | 8 | [8.0, 8.0, 8.0] | 3.67 | [3.0, 4.0, 4.0] | ||||||||||||||||||||
13 | When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? | https://openreview.net/forum?id=6MmiS0HUJHR | 8 | [8.0, 8.0, 8.0] | 3.67 | [4.0, 4.0, 3.0] | ||||||||||||||||||||
14 | RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation | https://openreview.net/forum?id=uSE03demja | 8 | [8.0, 8.0, 8.0] | 3.67 | [4.0, 4.0, 3.0] | ||||||||||||||||||||
15 | Natural Language Descriptions of Deep Features | https://openreview.net/forum?id=NudBMY-tzDr | 8 | [8.0, 8.0, 8.0] | 3.67 | [3.0, 4.0, 4.0] | ||||||||||||||||||||
16 | Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness | https://openreview.net/forum?id=dgxFTxuJ50e | 8 | [8.0, 8.0, 8.0] | 3.67 | [3.0, 3.0, 5.0] | ||||||||||||||||||||
17 | EntQA: Entity Linking as Question Answering | https://openreview.net/forum?id=US2rTP5nm_ | 8 | [8.0, 8.0, 8.0] | 3.67 | [4.0, 3.0, 4.0] | ||||||||||||||||||||
18 | Assessing Generalization of SGD via Disagreement | https://openreview.net/forum?id=WvOGCEAQhxl | 8 | [8.0, 8.0, 8.0, 8.0] | 3.5 | [3.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
19 | Bootstrapped Meta-Learning | https://openreview.net/forum?id=b-ny3x071E5 | 8 | [8.0, 8.0, 8.0, 8.0] | 3.5 | [3.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
20 | Possibility Before Utility: Learning And Using Hierarchical Affordances | https://openreview.net/forum?id=7b4zxUnrO2N | 8 | [8.0, 8.0, 8.0, 8.0] | 3.5 | [3.0, 4.0, 3.0, 4.0] | ||||||||||||||||||||
21 | TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting | https://openreview.net/forum?id=wv6g8fWLX2q | 8 | [8.0, 8.0] | 3.5 | [4.0, 3.0] | ||||||||||||||||||||
22 | A General Analysis of Example-Selection for Stochastic Gradient Descent | https://openreview.net/forum?id=7gWSJrP3opB | 8 | [8.0, 8.0, 8.0, 8.0] | 3.5 | [3.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
23 | The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions | https://openreview.net/forum?id=Z7Lk2cQEG8a | 8 | [8.0, 8.0, 8.0, 8.0] | 3.5 | [4.0, 3.0, 4.0, 3.0] | ||||||||||||||||||||
24 | Emergent Communication at Scale | https://openreview.net/forum?id=AUGBfDIV9rL | 8 | [8.0, 8.0, 8.0, 8.0] | 3.5 | [3.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
25 | Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality | https://openreview.net/forum?id=ccWaPGl9Hq | 8 | [8.0, 8.0, 8.0, 8.0] | 3.5 | [3.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
26 | A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?" | https://openreview.net/forum?id=uxgg9o7bI_3 | 8 | [8.0, 8.0, 8.0, 8.0] | 3.5 | [3.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
27 | Efficiently Modeling Long Sequences with Structured State Spaces | https://openreview.net/forum?id=uYLFoz1vlAC | 8 | [8.0, 8.0, 8.0] | 3.33 | [3.0, 3.0, 4.0] | ||||||||||||||||||||
28 | Contrastive Label Disambiguation for Partial Label Learning | https://openreview.net/forum?id=EhYjZy6e1gJ | 8 | [8.0, 8.0, 8.0] | 3.33 | [3.0, 3.0, 4.0] | ||||||||||||||||||||
29 | Sampling with Mirrored Stein Operators | https://openreview.net/forum?id=eMudnJsb1T5 | 8 | [8.0, 6.0, 10.0, 8.0] | 3.25 | [3.0, 4.0, 3.0, 3.0] | ||||||||||||||||||||
30 | Comparing Distributions by Measuring Differences that Affect Decision Making | https://openreview.net/forum?id=KB5onONJIAU | 8 | [8.0, 8.0, 8.0] | 3 | [3.0, 3.0, 3.0] | ||||||||||||||||||||
31 | Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory | https://openreview.net/forum?id=PLDOnFoVm4 | 8 | [8.0, 8.0, 8.0] | 3 | [3.0, 3.0, 3.0] | ||||||||||||||||||||
32 | Self-Supervision Enhanced Feature Selection with Correlated Gates | https://openreview.net/forum?id=oDFvtxzPOx | 8 | [8.0, 8.0, 8.0] | 2.67 | [3.0, 2.0, 3.0] | ||||||||||||||||||||
33 | Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme | https://openreview.net/forum?id=8c50f-DoWAu | 7.67 | [5.0, 8.0, 10.0] | 3.67 | [4.0, 4.0, 3.0] | ||||||||||||||||||||
34 | GNN-LM: Language Modeling based on Global Contexts via GNN | https://openreview.net/forum?id=BS49l-B5Bql | 7.67 | [8.0, 10.0, 5.0] | 3.33 | [3.0, 4.0, 3.0] | ||||||||||||||||||||
35 | Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models | https://openreview.net/forum?id=0xiJLKH-ufZ | 7.6 | [8.0, 8.0, 8.0, 8.0, 6.0] | 3.6 | [4.0, 3.0, 4.0, 3.0, 4.0] | ||||||||||||||||||||
36 | StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis | https://openreview.net/forum?id=iUuzzTMUw9K | 7.5 | [10.0, 6.0, 6.0, 8.0] | 4.25 | [3.0, 4.0, 5.0, 5.0] | ||||||||||||||||||||
37 | Scaling Laws for Neural Machine Translation | https://openreview.net/forum?id=hR_SMu8cxCV | 7.5 | [8.0, 6.0, 6.0, 10.0] | 4.25 | [4.0, 4.0, 4.0, 5.0] | ||||||||||||||||||||
38 | StyleAlign: Analysis and Applications of Aligned StyleGAN Models | https://openreview.net/forum?id=Qg2vi4ZbHM9 | 7.5 | [8.0, 8.0, 6.0, 8.0] | 4.25 | [4.0, 4.0, 5.0, 4.0] | ||||||||||||||||||||
39 | BEiT: BERT Pre-Training of Image Transformers | https://openreview.net/forum?id=p-BhZSz59o4 | 7.5 | [8.0, 8.0, 8.0, 6.0] | 4.25 | [4.0, 4.0, 4.0, 5.0] | ||||||||||||||||||||
40 | NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy | https://openreview.net/forum?id=0DLwqQLmqV | 7.5 | [8.0, 6.0, 8.0, 8.0] | 4 | [3.0, 4.0, 4.0, 5.0] | ||||||||||||||||||||
41 | AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning | https://openreview.net/forum?id=8H5bpVwvt5 | 7.5 | [6.0, 8.0, 8.0, 8.0] | 3.75 | [4.0, 3.0, 4.0, 4.0] | ||||||||||||||||||||
42 | Deconstructing the Inductive Biases of Hamiltonian Neural Networks | https://openreview.net/forum?id=EDeVYpT42oS | 7.5 | [6.0, 8.0, 8.0, 8.0] | 3.75 | [4.0, 3.0, 4.0, 4.0] | ||||||||||||||||||||
43 | Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception | https://openreview.net/forum?id=qsZoGvFiJn1 | 7.5 | [8.0, 8.0, 8.0, 6.0] | 3.75 | [4.0, 3.0, 4.0, 4.0] | ||||||||||||||||||||
44 | Tackling the Generative Learning Trilemma with Denoising Diffusion GANs | https://openreview.net/forum?id=JprM0p-q0Co | 7.5 | [8.0, 8.0, 6.0, 8.0] | 3.75 | [4.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
45 | How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data | https://openreview.net/forum?id=Bn09TnDngN | 7.5 | [8.0, 8.0, 8.0, 6.0] | 3.75 | [4.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
46 | RotoGrad: Gradient Homogenization in Multitask Learning | https://openreview.net/forum?id=T8wHz4rnuGL | 7.5 | [8.0, 8.0, 6.0, 8.0] | 3.75 | [4.0, 4.0, 3.0, 4.0] | ||||||||||||||||||||
47 | Meta Discovery: Learning to Discover Novel Classes given Very Limited Data | https://openreview.net/forum?id=MEpKGLsY8f | 7.5 | [6.0, 8.0, 8.0, 8.0] | 3.75 | [4.0, 3.0, 5.0, 3.0] | ||||||||||||||||||||
48 | Approximation and Learning with Deep Convolutional Models: a Kernel Perspective | https://openreview.net/forum?id=lrocYB-0ST2 | 7.5 | [8.0, 8.0, 6.0, 8.0] | 3.5 | [4.0, 3.0, 4.0, 3.0] | ||||||||||||||||||||
49 | Data-Efficient Graph Grammar Learning for Molecular Generation | https://openreview.net/forum?id=l4IHywGq6a | 7.5 | [8.0, 8.0, 6.0, 8.0] | 3.5 | [3.0, 4.0, 3.0, 4.0] | ||||||||||||||||||||
50 | Scalable Sampling for Nonsymmetric Determinantal Point Processes | https://openreview.net/forum?id=BB4e8Atc1eR | 7.5 | [8.0, 8.0, 6.0, 8.0] | 3.5 | [3.0, 4.0, 3.0, 4.0] | ||||||||||||||||||||
51 | Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks | https://openreview.net/forum?id=HFmAukZ-k-2 | 7.5 | [6.0, 8.0, 8.0, 8.0] | 3.5 | [4.0, 3.0, 3.0, 4.0] | ||||||||||||||||||||
52 | UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning | https://openreview.net/forum?id=nBU_u6DLvoK | 7.5 | [8.0, 8.0, 6.0, 8.0] | 3.5 | [4.0, 3.0, 3.0, 4.0] | ||||||||||||||||||||
53 | DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | https://openreview.net/forum?id=AJAR-JgNw__ | 7.5 | [6.0, 8.0, 8.0, 8.0] | 3.5 | [3.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
54 | Coordination Among Neural Modules Through a Shared Global Workspace | https://openreview.net/forum?id=XzTtHjgPDsT | 7.5 | [6.0, 6.0, 8.0, 10.0] | 3.25 | [4.0, 3.0, 3.0, 3.0] | ||||||||||||||||||||
55 | Perceiver IO: A General Architecture for Structured Inputs & Outputs | https://openreview.net/forum?id=fILj7WpI-g | 7.5 | [8.0, 6.0, 8.0, 8.0] | 3.25 | [3.0, 3.0, 3.0, 4.0] | ||||||||||||||||||||
56 | Weighted Training for Cross-Task Learning | https://openreview.net/forum?id=ltM1RMZntpu | 7.5 | [8.0, 6.0, 8.0, 8.0] | 3 | [3.0, 3.0, 3.0, 3.0] | ||||||||||||||||||||
57 | Exploring the Limits of Large Scale Pre-training | https://openreview.net/forum?id=V3C8p78sDa | 7.5 | [8.0, 6.0, 8.0, 8.0] | 3 | [3.0, 3.0, 3.0, 3.0] | ||||||||||||||||||||
58 | Strength of Minibatch Noise in SGD | https://openreview.net/forum?id=uorVGbWV5sw | 7.5 | [6.0, 8.0, 8.0, 8.0] | 3 | [3.0, 3.0, 3.0, 3.0] | ||||||||||||||||||||
59 | PAC-Bayes Information Bottleneck | https://openreview.net/forum?id=iLHOIDsPv1P | 7.5 | [10.0, 6.0, 8.0, 6.0] | 2.75 | [3.0, 3.0, 2.0, 3.0] | ||||||||||||||||||||
60 | Task Relatedness-Based Generalization Bounds for Meta Learning | https://openreview.net/forum?id=A3HHaEdqAJL | 7.5 | [6.0, 8.0, 8.0, 8.0] | 2.25 | [1.0, 2.0, 3.0, 3.0] | ||||||||||||||||||||
61 | Improving Mutual Information Estimation with Annealed and Energy-Based Bounds | https://openreview.net/forum?id=T0B9AoM_bFg | 7.33 | [8.0, 6.0, 8.0] | 4.33 | [4.0, 4.0, 5.0] | ||||||||||||||||||||
62 | On the Connection between Local Attention and Dynamic Depth-wise Convolution | https://openreview.net/forum?id=L3_SsSNMmy | 7.33 | [8.0, 6.0, 8.0] | 4.33 | [4.0, 5.0, 4.0] | ||||||||||||||||||||
63 | Relational Surrogate Loss Learning | https://openreview.net/forum?id=dZPgfwaTaXv | 7.33 | [6.0, 8.0, 8.0] | 4 | [4.0, 4.0, 4.0] | ||||||||||||||||||||
64 | Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization | https://openreview.net/forum?id=tYRrOdSnVUy | 7.33 | [6.0, 8.0, 8.0] | 3.67 | [4.0, 2.0, 5.0] | ||||||||||||||||||||
65 | Vision-Based Manipulators Need to Also See from Their Hands | https://openreview.net/forum?id=RJkAHKp7kNZ | 7.33 | [8.0, 6.0, 8.0] | 3.67 | [3.0, 4.0, 4.0] | ||||||||||||||||||||
66 | iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data | https://openreview.net/forum?id=wRODLDHaAiW | 7.33 | [8.0, 8.0, 6.0] | 3.67 | [4.0, 4.0, 3.0] | ||||||||||||||||||||
67 | A Loss Curvature Perspective on Training Instabilities of Deep Learning Models | https://openreview.net/forum?id=OcKMT-36vUs | 7.33 | [8.0, 8.0, 6.0] | 3.67 | [4.0, 3.0, 4.0] | ||||||||||||||||||||
68 | DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations | https://openreview.net/forum?id=BrPdX1bDZkQ | 7.33 | [6.0, 8.0, 8.0] | 3.33 | [3.0, 3.0, 4.0] | ||||||||||||||||||||
69 | The MultiBERTs: BERT Reproductions for Robustness Analysis | https://openreview.net/forum?id=K0E_F0gFDgA | 7.33 | [8.0, 8.0, 6.0] | 3.33 | [3.0, 4.0, 3.0] | ||||||||||||||||||||
70 | RelaxLoss: Defending Membership Inference Attacks without Losing Utility | https://openreview.net/forum?id=FEDfGWVZYIn | 7.33 | [6.0, 8.0, 8.0] | 3.33 | [2.0, 4.0, 4.0] | ||||||||||||||||||||
71 | Sample and Computation Redistribution for Efficient Face Detection | https://openreview.net/forum?id=RhB1AdoFfGE | 7.33 | [8.0, 8.0, 6.0] | 3 | [3.0, 3.0, 3.0] | ||||||||||||||||||||
72 | Compositional Training for End-to-End Deep AUC Maximization | https://openreview.net/forum?id=gPvB4pdu_Z | 7.33 | [6.0, 8.0, 8.0] | 3 | [3.0, 3.0, 3.0] | ||||||||||||||||||||
73 | Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions | https://openreview.net/forum?id=apv504XsysP | 7.33 | [8.0, 6.0, 8.0] | 3 | [2.0, 3.0, 4.0] | ||||||||||||||||||||
74 | Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models | https://openreview.net/forum?id=CyKHoKyvgnp | 7.33 | [8.0, 8.0, 6.0] | 2.67 | [3.0, 3.0, 2.0] | ||||||||||||||||||||
75 | Differentiable Scaffolding Tree for Molecule Optimization | https://openreview.net/forum?id=w_drCosT76 | 7.25 | [5.0, 8.0, 10.0, 6.0] | 4.5 | [5.0, 4.0, 4.0, 5.0] | ||||||||||||||||||||
76 | LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations | https://openreview.net/forum?id=fCG75wd39ze | 7.25 | [8.0, 8.0, 5.0, 8.0] | 4.25 | [4.0, 4.0, 4.0, 5.0] | ||||||||||||||||||||
77 | Learning Super-Features for Image Retrieval | https://openreview.net/forum?id=wogsFPHwftY | 7.25 | [8.0, 5.0, 8.0, 8.0] | 4.25 | [5.0, 4.0, 4.0, 4.0] | ||||||||||||||||||||
78 | Learning more skills through optimistic exploration | https://openreview.net/forum?id=cU8rknuhxc | 7.25 | [8.0, 8.0, 8.0, 5.0] | 4 | [3.0, 5.0, 4.0, 4.0] | ||||||||||||||||||||
79 | Can an Image Classifier Suffice For Action Recognition? | https://openreview.net/forum?id=qhkFX-HLuHV | 7.25 | [8.0, 8.0, 5.0, 8.0] | 3.75 | [4.0, 3.0, 5.0, 3.0] | ||||||||||||||||||||
80 | DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS | https://openreview.net/forum?id=iRCUlgmdfHJ | 7.25 | [5.0, 8.0, 8.0, 8.0] | 3.75 | [3.0, 4.0, 4.0, 4.0] | ||||||||||||||||||||
81 | InfinityGAN: Towards Infinite-Pixel Image Synthesis | https://openreview.net/forum?id=ufGMqIM0a4b | 7.25 | [8.0, 8.0, 8.0, 5.0] | 3.75 | [4.0, 3.0, 4.0, 4.0] | ||||||||||||||||||||
82 | Neural Structured Prediction for Inductive Node Classification | https://openreview.net/forum?id=YWNAX0caEjI | 7.25 | [8.0, 5.0, 10.0, 6.0] | 3.75 | [3.0, 4.0, 4.0, 4.0] | ||||||||||||||||||||
83 | How Do Vision Transformers Work? | https://openreview.net/forum?id=D78Go4hVcxO | 7.25 | [8.0, 8.0, 5.0, 8.0] | 3.5 | [3.0, 4.0, 4.0, 3.0] | ||||||||||||||||||||
84 | Interpretable Unsupervised Diversity Denoising and Artefact Removal | https://openreview.net/forum?id=DfMqlB0PXjM | 7.25 | [8.0, 8.0, 8.0, 5.0] | 3.5 | [4.0, 3.0, 4.0, 3.0] | ||||||||||||||||||||
85 | Low-rank Matrix Recovery with Unknown Correspondence | https://openreview.net/forum?id=RbVp8ieInU7 | 7.25 | [5.0, 8.0, 10.0, 6.0] | 3.5 | [3.0, 3.0, 3.0, 5.0] | ||||||||||||||||||||
86 | Self-supervised Learning is More Robust to Dataset Imbalance | https://openreview.net/forum?id=4AZz9osqrar | 7.25 | [8.0, 8.0, 5.0, 8.0] | 3.25 | [3.0, 4.0, 2.0, 4.0] | ||||||||||||||||||||
87 | On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications | https://openreview.net/forum?id=oWZsQ8o5EA | 7.25 | [8.0, 5.0, 6.0, 10.0] | 3.25 | [4.0, 3.0, 3.0, 3.0] | ||||||||||||||||||||
88 | Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems | https://openreview.net/forum?id=2_vhkAMARk | 7.25 | [8.0, 5.0, 8.0, 8.0] | 3.25 | [4.0, 3.0, 3.0, 3.0] | ||||||||||||||||||||
89 | Sparse Communication via Mixed Distributions | https://openreview.net/forum?id=WAid50QschI | 7.25 | [8.0, 8.0, 8.0, 5.0] | 3.25 | [5.0, 3.0, 3.0, 2.0] | ||||||||||||||||||||
90 | A Deep Variational Approach to Clustering Survival Data | https://openreview.net/forum?id=RQ428ZptQfU | 7.25 | [8.0, 8.0, 8.0, 5.0] | 3.25 | [2.0, 4.0, 3.0, 4.0] | ||||||||||||||||||||
91 | Optimization and Adaptive Generalization of Three layer Neural Networks | https://openreview.net/forum?id=dPyRNUlttBv | 7.25 | [5.0, 8.0, 8.0, 8.0] | 2.5 | [3.0, 3.0, 1.0, 3.0] | ||||||||||||||||||||
92 | Understanding Domain Randomization for Sim-to-real Transfer | https://openreview.net/forum?id=T8vZHIRTrY | 7.25 | [10.0, 8.0, 3.0, 8.0] | 2.25 | [3.0, 2.0, 2.0, 2.0] | ||||||||||||||||||||
93 | Open-vocabulary Object Detection via Vision and Language Knowledge Distillation | https://openreview.net/forum?id=lL3lnMbR4WU | 7 | [5.0, 8.0, 8.0] | 4.67 | [5.0, 5.0, 4.0] | ||||||||||||||||||||
94 | A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion | https://openreview.net/forum?id=wqD6TfbYkrn | 7 | [8.0, 8.0, 5.0] | 4.67 | [5.0, 4.0, 5.0] | ||||||||||||||||||||
95 | EViT: Expediting Vision Transformers via Token Reorganizations | https://openreview.net/forum?id=BjyvwnXXVn_ | 7 | [8.0, 8.0, 6.0, 6.0] | 4.5 | [4.0, 4.0, 5.0, 5.0] | ||||||||||||||||||||
96 | Multi-scale Feature Learning Dynamics: Insights for Double Descent | https://openreview.net/forum?id=JmU7lyDxTpc | 7 | [8.0, 8.0, 5.0] | 4.33 | [4.0, 4.0, 5.0] | ||||||||||||||||||||
97 | Chunked Autoregressive GAN for Conditional Waveform Synthesis | https://openreview.net/forum?id=v3aeIsY_vVX | 7 | [8.0, 8.0, 5.0] | 4.33 | [4.0, 4.0, 5.0] | ||||||||||||||||||||
98 | Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction | https://openreview.net/forum?id=Z1Qlm11uOM | 7 | [8.0, 6.0, 8.0, 6.0] | 4.25 | [5.0, 3.0, 4.0, 5.0] | ||||||||||||||||||||
99 | Convergent Graph Solvers | https://openreview.net/forum?id=ItkxLQU01lD | 7 | [6.0, 6.0, 8.0, 8.0] | 4.25 | [5.0, 4.0, 4.0, 4.0] | ||||||||||||||||||||
100 | Transformer-based Transform Coding | https://openreview.net/forum?id=IDwN6xjHnK8 | 7 | [8.0, 8.0, 5.0, 6.0, 8.0] | 4.2 | [3.0, 4.0, 4.0, 5.0, 5.0] |